Science topic

Intuition - Science topic

Knowing or understanding without conscious use of reasoning. (Thesaurus of ERIC Descriptors, 1994)
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Triage Decision Making inventory (TDMI) questionnaire 27 questions have three dimensions of cognitive abilities, experience and intuition, and in the study we want to use the 7-question questionnaire "acknowledges using intuition in nursing scale (AUINS)".
1- Is it possible to use the above two questionnaires simultaneously in the study and perform correlation measurement, considering that one of the dimensions of the TDMI questionnaire is intuition?
2- If it is not possible to use simultaneously and the possibility of communication, is it possible to remove the intuition dimension of the TDMI questionnaire? And how can this be done with reason and logic?
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Hello,
Your question is a statistical correlation question about comparing two scales where both scales share a similar dimension. From a statistical viewpoint, I am not sure how to respond. However, from a nursing viewpoint, I believe these 2 scales are complementary and reinforcing. The AUINS scale values emotional awareness during a triage situation. Nurses often "feel" or are otherwise "triggered" to have apprehension or premotion about a patient's description, including what is not being said. In addition, nurses through multiple patient encounters, all encoded somewhere within the nurse, are able to connect on an unseen level (etherial) by some nurse-empaths, or at least pick up cues to aid triage assessment and allocation of resources. I'm thinking rather that separating and searching for a correlation, I think these 2 scales are complementary. A different study might be to look at outcomes in nursing cohort 1 (uses both scales) and nursing cohort 2 (that uses neither scale). Interesting questions! Patty
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Some believe that teachers are born naturally as teachers; some think that teachers must be trained. Where do you stand?
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Teachers aren't born, and they aren't made. Teachers become teachers for a variety of reasons, including their enthusiasm for the subject or the convenience of the employment schedule compared to the corporate sector.
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Hello everyone,
I am working with IEEE 12 bus system for Wind integration studies. I modelled the system in Simulink and carried out load flow analysis using PowerGui block. I lack the technical understanding of Load Flow analysis as I am relatively new in this field. I have two questions:
1) How to interpret the results of Load Flow analysis to ensure system stability and how to extract particular information at individual buses regarding power flow
2) Using the load flow analysis, can I determine at which buses I can replace the synchronous generation with Wind turbines?
I went through literature but mostly the iterations and mathematical aspects of load flow analysis are discussed and not the general intuition of why we specifically do it or can benefit from it. I would be really grateful if someone can guide me to some good literature regarding this and enlighten me for better understanding.
Regards,
Yasir Shamim
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Thank you very much. I will refer to the book.
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I have no mathematics background and learning the reconstruction of species phylogeny.
I understand the of principle of MCMC is to use baysian statistic, which is to deduce the posterior prob. from the prior prob. and likelihood of the parameters.
The question is:
what is the intuition behind RJMCMC? how does it defer from conventional MCMC? and when to use it?
I think MCMC is well-explained in the internet, but what RJMCMC explained in the internet is the math equation.
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From a fit-for-purpose perspective, where MCMC samples the posterior of the parameter space for a single model, RJMCMC is intended to sample the joint posterior of the parameter *and model* space given a prior of several models. For some model spaces, such as variable selection, the number of possible models could be very large (tens or hundreds of thousands). Practically, this allows a single Markov chain to theoretically sample all possible models (or variable combinations) and yield posterior model probabilities for each.
Mathematically, RJMCMC is achieved via revisiting the detailed balance sufficient condition upon which Metropolis Hastings MCMC is derived. By considering multiple parameter subspaces and moves between these subspaces, a transition kernel that satisfies detailed balance under these conditions is chosen to be the acceptance ratio for RJMCMC. A few requirements are necessary to enforce for this to be valid, and these are dimension matching of auxiliary variables that are drawn from proposal distributions for each transdimensional move, and the bijective (invertible) transformation that maps these variables and the current state to the new subspace (or model).
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Hello,
I'm trying to model a transient heating process in COMSOL with a thin metal film on a polymer substrate. I'm trying to gain intuition into the mechanical and thermal properties as a function of temperature. In particular, how do the heat capacity and Young's modulus of polyimide change with temperature especially near or above the glass transition temperature.
Regards,
Adam
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How Researchers come up with new catalytic material for HER? Is there any method to predict the catalytic activity of a material other than computational techniques? Especially all those new complex materials, are they results of digging computational data, intuitions, or serendipity?
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Thankyou Nabeel Na
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Since I am from a physics background, I can understand physical treatment and fabrication methods of nanoparticle synthesis like arc discharge or lithography. But recently I have undertaken Sol-Gel and Hydrothermal synthesis of metal oxide nanoparticles. Let me show you and Fe- Sem image of WO3 nanoparticles. This is synthesized using the Sol-Gel technique. If the precursor isn't a typical metal alkoxide then the further reaction falls flat on literature.
Like I have used Sodium Tungstate (Na2WO4.2H2O) as a precursor. Now the acid would have a specific role, so would the capping agents, so would the rate of rotation in magnetic stirring. Even if I somehow figure out the chemical reaction, there would be a particular variable that could have been highly significant while others not so much in causing the structure to form. How do I develop a chemical intuition regarding the result? How can I reason the structure that is formed if I know the chemicals used. Is there perhaps a direct correlation between stoichiometry and structure? Kindly Suggest some literature that can help me.
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The tungstate ion is hydrolyzed to W (0H) 6 (this is a sol). Then it gradually turns into gel WO3 and xerogel with aging
WO42- + 2H2O = 2WO3 + 4H+
Pick up a dilute sodium tungstate solution. With dilution, an increase in the amount of water, the degree of hydrolysis increases. Apparently you took a concentrated solution and you have a photo with a mixture of sol and gel.
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I just need basic intuition that how I can reach to this particular equation.
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In the beginning you have to be taught calculus and frankly speaking, I urge you to do so, in order to excel in your studies and have a competitive advantage.
Secondly, you have to consider 5 attributes in using that formula which are:
1.The risk free rate
Which is simply the Treasury bill rate, that is the rate that zero risk.
2.Time of expiration of the option in the future. as this attribute will affect the price of an option.
3.Definitely the price of the underlying asset.
4.And the price of exercising the option.
5.And the risk of the underlying asset or its price volatility as if the underlying asset or the stock is risky definitely the option will be expensive as you know high risk is leading to high return.
Hope this could help a little bit, just you could test which attribute increase or decrease the option price, think this could give you a simple understanding about the derivation of the equation and which attribute is in the denominator and which are in numerator, which are inverse and which are directly proportion with the price all this will help you have a logical understanding.
Wish you all the Luck and success.
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I am adapting a scale ( TIntS scale from Pretz, 2014 -23 items) into my native language. After I have done the following steps ( Gudmundsson, E. (2009). Guidelines for translating and adapting psychological instruments. Nordic Psychology, 61(2), 29-45.) I ran in SPSS a Factor Analysis - Principal Components ( Rotation - Direct Oblimin).
The problem is that 3 items from one subscale (Inferential Intuition) loaded on another subscale (Affective Intuition) (0.46; 0.56; 0.64 respectively) and not loaded on the Inferential scale (>0.40) -and I do not know how to explain that or why is that the case.
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Translation is a tricky thing, because you're dealing not just with different words for the same concepts but also with words that refer to subtly different concepts and the underlying cultural differences that intersect with language. So you should not be surprised to find that some aspects of a scale's structure change, especially if the linguistic/cultural groups are quite different from each other.
That said, it's worth checking the following. Did the original authors use the same statistical procedures as you did? As you know, different rotational procedures can lead to surprisingly large changes in the results. And what were the factor loading in the original study? It could be that the items in question were always a bit "muddy," with strong secondary loadings on the factor where you obtained the primary loadings.
Beyond that, you'll have to wait for someone with real statistical expertise to weigh in!
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Undergrad learning Patch Clamping here. I was hoping I could imitate an oscilloscope using Clampex. My intuition tells me I have to change the connections on the Digitizer but I am unsure. Anyone who can help, you are greatly appreciated. Thank you, have a great day.
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I think Dr. Kanjhan is right, however, there could be a problem with time scales. When I did my graduate work, doing VC for a difference current, I liked to record on a short time scale to assess quality of clamp, but use a BNC splitter to an oscilloscope so I could monitor the long time scale and identify when the current peak occurred.
Viewing both at the same time should be pretty straight forward and just specifying what channels you want to record from (in edit protocol->inputs tab->select digitizer channels) and making sure that they are hooked up correctly in lab bench (set up inputs->make sure they are scaled appropriately; pretty easy to check cables if its all MD equipment because it will give you a scaling assistant tutorial for the signal).
However, as far as I'm aware, you will only be able to view one time scale at a time in clampex which is why I decided to use the analogue oscilloscope for slow time scale current monitoring while using the PC for fast time scale monitoring.
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I have a question, I am struggling to get intuition and intrinsic motivation, why do we study Riemann Problems? I mean I understan a bit the application with shock waves and so on, but can anyone give me more poetic and humane application? How can it help the well-being of people? My question might be weird, but any comment or inspiration is appreciated .
Thanks
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Thanks for your valuable discussion
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Most MCDM problems use subjective weights mainly obtained from AHP.
These weights are developed by preferences, qualified using a dubious table (as is the opinion of many researchers), and criticized since decades ago.
They are also obtained under the aggravating circumstance that the DM works only with criteria without considering the different projects, WHICH THEY MUST EVALUATE, according to AHP hierarchy.
That is, in comparing, say environment and disposable income, the DM decides, by intuition, that the first is more important than the second, and assigns a numerical value to that preference, using values of the above-mentioned table.
Then, this assumed weight, for it is not a weight, but a trade-off value, is used to select alternatives. On what grounds? None given.
Consequently, the DM decides that said preference is valid for everything in life, since he does not have any reference, other that a single objective, where this preference will be used.
Not too much thinking is needed to conclude that this process is invalid, because that preference may apply well to a certain project but not in others, or even in comparing alternatives within a scenario.
Now, the DM, using mathematical methods (The Eigen Value method, or the Geometrical Mean), determines priorities for each criterion - after his estimates are subject to the verdict of a formula - because the method demands that his estimates MUST fulfill, with a 10 % of tolerance, that they are consistent, or that meet transitivity.
That is that if criterion A = 3 times more important than criterion B, or 3B, and B =2C, then A=6C.
Now, one wonders why his estimates must be transitive?
Nobody knows, but what is worse, is that the AHP method assumes that said transitivity MUST also be satisfied by the real-world problem, not considering that in general, the world is intransitive.
And now the question:
On what ground, on what theory, on what relationship is it assumed that those preferences from a DM or from a group of DMs, are valid for the real world?
As a matter of fact, a very well-known theorem, the ‘Arrow’s Impossibility Theorem’, says the opposite.
I have posted several times this question. Is there anybody that can give a RATIONAL answer?
Your response and discussion will be greatly appreciated.
Thank you
Nolberto Munier
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Hello Dear Professor @Nolberto Munier
I will meet you after a long time with a challenging discussion!
Contrary to previous discussions in late 2020, I feel that your critical theory is significant and close to reality!
I love AHP and especially ANP, especially the fuzzy version of them!
But the fact is that you are right, these methods have a logical flaw!
A kind of imposition and transmission of opinion!
Good luck
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Some people are not impressed by the development of intuitive near-optimal closed-form solutions to some business problems because the exact optimal solutions can be obtained using a spreadsheet solver. The objective functions do not lead to exact closed-form optimal solutions. The approximate closed-form optimal solutions are very intuitive from a business perspective. My argument is that Little's Law is used to estimate the average WIP levels when you know the average throughput rate and the average cycle time, and it is applied in many different contexts. Of course, you can model all of the complexities of the shop floor and make this calculation more accurate. Aren't we better off if we can come up with some simple and intuitive equations that fit many business scenarios? Solving to exact optimum is in fact not reliable either, because the parameters are not quite precise in the first place.
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I tried many sources but I could not understand how exactly encoding and decoding works...i.e how data is being compressed like which all inputs are getting combined and how values/features are being updated. Could anyone explain in detail with an example?
Thank you
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The usual implementation of an autoencoder is a feed forward neural network which is trained to map input vectors to identical output vectors, f(X)=X.
Compression does not necessarily take place. If there are in each layer as many neurons as in the preceding layer, the unchanged input can simply be mirrored by each layer. Compression comes in if you have fewer neurons in an inner layer. Then the neural network has to invent a code. For example, if you have a one-hot-code at the input, you could express code words in an inner layer as Gray code or binary code, with fewer bits.
If the input is denser, the input topology is approximated by a lower dimensional object embedded in the higher dimensional topology. For example, if you have 2 input neurons at the input and output and 1 neuron in the inner layer, the network has to find a code for expressing a 2D vector as 1D vector. Imagine a worm or a thread in a square. To do the mapping (from 2D to 1D), search for the nearest point on the worm.
Regards,
Joachim
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There are two plates with horizontal center crack, one with crack length of a with the other with a+da. The bottoms are fixed while the tops are under the same displacement load. For intuition, the second configuration is from the first one with crack propogation. Assuming the load is applied first and then crack propogates. During this proecdure, there is no extra external work but the energy dissipates in the second one. If the displacement is fixed, the whole system should have less force to propagte crack in the second configuration. This is to say, the second configuration is more stable and thus it should have lower stress intensity factor and lower stress concentration near the crack tip. Also, since the total stiffness is decreasing due to longer crack, the raction force should also decrease.
But from numerical simulation, the stress concentration and reaction force on boudanry are both higher in the second configuration. Both model has the same geomtry, mesh, load except the crack length. The crack is simulated by decoupling the correspoding node pairs of two patches.
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???
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How really we perceive the Time? As a frame? and so assimilates or merges frames as an editor? Or in a continuous way?
Generally, there are three theories or models about time and consciousness:
1. our perception of time is Cinematic perhaps as separated frames
2. Retentional model that basis on recent past
3. Extensional model, such as chunks.
If we accept that time perception is a type of consciousness so we must express which model could say the best explanation and could compatible with our common sense.
How we sense time in our intuition? continues or discrete?
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Dear Asemaneh Allame , thank you for your reply to my comments. Time as an SI base unit does not exist and is actually not measurable. To measure a duration of time, even for one second, we have to start from the past and get into the future. But what we only have is the present. Past is our memory and future is our expectation, none of them exist at the present. That's why Einstein can only define time as "the position of the small hand of my watch" not a duration.
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Mathematical intuition is the equivalent of coming across a problem, glancing at it, and using one's logical instincts to derive an answer without asking any ancillary questions-Aryamoy Mitra
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Possibly because I work a lot with ocean deployed devices, I have a lot of encounters with potting and marinizing using epoxies and silicones. I usually am working on intuition and the word of vendors but I wondered if there was any applied books out there describing the various categories of plastics and epoxies and their properties. A brief look at Amazon did not reveal anything.
Thanks!
Fritz
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Dear Fritz Sonnichsen ,
I have attached one book about silicon rubber. I hope it would be useful.
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Hello everyone,
I am dusting off my knowledge on adaptive control for my research. I came across with a concept that I did not quite get back then and is still elusive to me: persistence of excitation. After looking in many places, I always found the expression for the condition with the integral of the regressor matrix upper and lower bounded. However, I do not get the intuition of the meaning and why the persistence of excitation condition is formulated like that. Any comments on this will be greatly appreciated.
Thanks in advance!
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Currently writing a paper about Hegel with particular reference to his 'Phenomenology of Spirit'. Just wondering if anyone could point me in the right direction with this? Really appreciated.
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As Levinas once said, "Being is isolation" (I am paraphrasing heavily). Immediate intuition is infallible but uncommunicable, even to oneself, because the very event of intuition is immediately superseded by another event; every instance of intuition is met with its disappearance straight after. Thus, trying to communicate to yourself after the event entails the disappearance of the event, thereby leaving you with another event, that of you trying to communicate some past event to yourself. All we are then left with are fleeting impressions that we try to make intelligible (i.e. communicable to others and ourselves) via conceptual mediation.
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In medical practice, there is such an important thing as medical intuition. When a patient visits a doctor, the doctor just looks and literally asks a couple of questions and he already knows what is going on and what disease a patient may have.
Let’s look at this from a data analysis perspective. So, what is medical intuition? It is like a doctor using his built-in neural network. Having analyzed a sufficient number of cases, a doctor is able, consciously or not, to identify some additional factors that help him narrow down the solution space. And further, he comes to hypotheses, which he considers a possible diagnosis.
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Medical intuition is partially subjective to the expertise and experience of medical practitioners. With AI, the same model could be used by different practitioners, which makes the diagnosis more reliable. Furthermore, with biomedical instrumentation, many physically unobservable features could be integrated into AI models. Once optimized and automated, these models and systems are way better than medical intuition. However, the drawback is that data analysis and model validations should be approved first before they get implemented. Therefore medical intuition will continue to be a necessity for some time.
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The typical approach to designing flight control systems is to design an inner control loop to stabilize vehicle attitude and angular rates, while an outer loop tracks vehicle position. The reason given for the above is that attitude dynamics is "faster" than the translational dynamics. The theory of time scale separation in dynamic systems seems provides an answer to this question but What is the physical intuition behind this argument? Also, Is it possible to design a controller that does not consist of multiple cascading loops?
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Hi Adhithya,
Dynamical systems often involve faster and slower transients. Longitudinal dynamics vary much slower in comparison to lateral dynamics, for example. Therefore we can construct models for lateral dynamics alone by assuming velocity to be constant in a finite time horizon, which is true for a fraction of a second. These engineering assumptions are there to make the analytical descriptions to be simpler. I don't know if these are sufficient for a physical intuition?
Yes it should be possible to design a single controller to achieve both stability and performance. I believe classical design techniques would be too simple for such a performance requirement. I would start with LQR design to achieve the control objectives. The solution of course depends on the specific problem at hand.
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Hello,
a seemingly simple design question: The aim is to visualize the dependence of A and B by connecting A and B by a straight line (possibly with a label). The design options are: line type, line strength, text or symbolic label.
How would you visualize the "significance" and/or "strength" of the dependence?
Details:
- A and B are either independent (no line) or dependent. They are considered dependent if the likelihood of being independent (the p-value / "significance") is small (which corresponds in each setting to a certain value of a test statistic).
- The "strength" of dependence of A and B might be given on a scale, e.g. [-1,1] if one considers classical correlation.
(The use of colour is a further design option, which breaks down in black and white print. Therefore it was excluded.)
### all below can be skipped, it provides only further details for the reader interested in the background of the question ###
The detection of dependence and its quantification are usually separate procedures, thus a mixture of both might be confusing...
Background:
Apart from many other new contributions the paper arXiv:1712.06532
introduces a visualization scheme for higher order dependencies (including consistent estimators for the dependence structure).
Based on feedback there seems to be a tendency to interpret the method/visualization by a wrong intuition (rather than by its description given in the paper)... so I wonder if this can be moderated by an improved visualization.
If you want to test your intuition use in R:
install.packages("multivariance")
library(multivariance)
dependence.structure(dep_struct_several_26_100,alpha = 0.001)
dependence.structure(dep_struct_star_9_100,alpha = 0.01)
dependence.structure(dep_struct_ring_15_100,alpha = 0.01)
# which performs dependence structure detections on sample datasets
The current visualization does NOT include the "strength" of dependence, but that's what some seem to believe to see.
The paper is concerned with dependencies of higher order, thus it is beyond the simple initial example of this question. But still, it depicts dependencies by lines and uses as a label usually the value of the test statistic. Redundancy is introduced by using colour, line type and in certain cases also the label to denote the order of dependence.
It seems that using the value of the test statistic as label causes irritation. The fastest detection method is based on conservative tests, in this setting there is a one-to-one correspondence (independent of sample sizes and marginal distributions) between the value of the test statistic and the p-value - thus it provides a very reasonable label (for the educated user). In general the value of the test statistic gives only a rough indication of the significance.
A further comment to the distinction between "significance" and "strength": In the paper also several variants of correlation-like measures are introduced, which are just scaled version of the test statistics. Thus (for a fixed sample size and fixed marginals) there is also a one-to-one correspondence between the "strength" and the conservative "significance". These measures also satisfy certain dependence measure axioms. But one should keep in mind that these axioms are not sufficient to provide a sensible interpretation of different (or identical) values of the "strength" in general (e.g., when varying the marginal distributions). ... that's why currently all methods are based on "significance".
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go to,paper, that will definitively help you in this regard
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I ask for specific references to publications
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Dr. Wason,
Your answer is basically what I have found. I haven't found any journal that consistently is dedicated to this topic. To my knowledge, articles come along now-and-then from diverse sources or as part of an article. This is why my first response was to read Schrodinger's lectures at Trinity College Dublin. These are on the internet, and I found them very interesting. I thought the material might be indexed to journals dealing with the topic. Another possibility might be to look at the psychological literature/journals. Having taught psychology at the university (and later a dean), I did cover this topic in upper-level psychology classes.
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Are there categories that can guide us in choosing the relevant themes? Does this contribute in any way to increasing the impact of our publications? Or should we follow our intuition?
(If you think this issue may be important, please recommend it to broaden the scope of the discussion)
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Intuitive selection procedure.
Methodical rationality screening.
Empirical testing phase.
________________________________
Creative and open communication.
Deutero/double-loop learning.
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Some theorems can reach a conclusion when the derivative of some real-valued function of a real variable is continuous, and some other theorems can reach a conclusion if the derivative merely exists. So, I guess that existence and continuity are not equivalent statements. But thinking about the definition of the derivative, my intuition is telling me that existence implies continuity. Or, equivalently, discontinuity implies nonexistence. My intuition visualizes a discontinuous derivative as a sharp corner in a curve. But a sharp corner looks to me like an undefined derivative at the corner. Am I wrong? I think I am wrong, because the literature makes a distinction between existence and continuity, but I don't understand how I can be wrong. I am looking for an example of a function that is differentiable at every point in some interval but with the derivative discontinuous at some point in that interval. Can you give an example?
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Hi Larry. Consider a function example for this case, f(x) being defined in two parts:
x^2 sin(1/x) for x != 0,
0 for x = 0.
For the domain, take an interval including zero.
The function f is differentiable at every point in the domain; to see this particularly in the pathological zero point, apply the limit definition of the derivative.
Moreover, the limit of the derivative of the function, f', when the independent variable approaches zero, does not exist (it oscillates). Then, f' is not continuous there.
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Referring to standard textbooks, one finds frequent appeals to readers’ intuition, when fundamental theorems are proved or basic definitions are explained.
What exactly is intuition in such an abstract environment as topology, and how it can be developed?
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Intuition is the ability to see what is reasonable or not (see https://rjlipton.wordpress.com/2010/10/01/mathematical-intuition-what-is-it/ ). Developing intuition is just like developing any other thinking ability.
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-Mathematics is known to every scientist: it is a synthesis of geometry and arithmetic.
-Metaphysics is generally (because here and there, there are misconceptions, e.g. with 'intuition' which remains unexplained) known as worldview.
-Abstraction is mathematically explicitly unexplained (that is the why of my question): it is generally a shorthand, an abbreviation, or compression, by which you can think about thinking itself, a sort of 'meta-level'.
-Metaphysical abstraction is only generally known as 'imagination' or 'intuition' (ascribed to humanities and arts).
Thanks for your answers! Marc.
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Marc Carvallo. What I want to expose in the first paragraphs of my answer, is what can currently be understood by conceptualism. Abstract ideas, abstractions and concepts have no real entity in the physical world, but with their mental creation cognitive tools are achieved that can change behavior a lot. For me, non-conceptualism does not exist.
Mathematics begins with the achievement of numerical abstraction, once done, they serve to better know the physical reality. Metaphysical abstractions follow the same cognitive process, but its foundation and use is different.
Ángel
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The Praecox-feeling is experiencing a resurgence in psychiatry, or - better to say - a conceptual reconstruction. Several authors (the first of all was Henricus Copernicus Rümke in 1941) claim that it is a type of intuitive recognition that does not compete with diagnostic categories and bundles of symptoms, but which detects the presence of schizophrenia in a complex phenomenological way, not in the subject itself - patient or his or her psychiatrist - but in the mutual intersubjective space which, by the way, resembles transference phenomena. However, in the concept of Praecox-Gefühl the term "feeling" is replaced (as Rümke has already done it) by the term "experience" ("Praecox-Erlebnis", not "Erfahrung").
Does it now make sense to open the chapters of intuitive diagnostics, at a time of psychiatry well equipped with operational criteria?
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I think it will be extremely subjective issue. I would like to offer my unusual opinion. I think, as social animal, human would automatically assess other individual to determine the method to communicate with him/her. One of the most practical unconscious method is by observing their facial expression. However, possibly rarely addressed, facial expression is a learnt concept. We do not see a cat smiling or a mouse frowning, simply because such concept is not applied in their interaction. There is no simple reason why a smile should reflect happiness other than the fact that other people also do the same (or probably some sort of evolutionary reason because the muscle is easiest to move, or practical, or others). If we observe a baby, we will notice some bizarre expression, a smile that "seemingly different" from his adult counterpart. The adult-like fluid expression would show after several years. I believe that facial expression is something that is both copied and learnt by muscular training. The same expression would show only after the facial muscle undergoes repeated endurance training and got larger, just as biceps or triceps do. Facial expression can be seen both as existence of developed muscle and as fluidity of muscular contraction (not necessarily resulting in obvious movement, as antagonizing muscles may also contract together).
However, when we intuitively diagnose someone to have schizophrenia, one of the thing we note first may be their grooming, behavior, and their lack of facial expression. The "sense that something is not right with the expression" may actually be our instinct that the supposedly opposing muscles are both relaxed. When they both contract, it may cause the face to "tighten", while someone with schizophrenia may have wasted, "loose" facial muscle. If it happens for years, as any other muscles in the body, it will result in "disuse atrophy." So, even if they eventually manage to contract the muscle correctly, it may not look correct as the musculature is weakened. Such diagnostic method may diagnose someone with loosening connection to reality, but will also give false positive to someone with poor social skill from the beginning. We may be able to measure lack of "connectiveness" with social environment but we may not measure decrease or change in previously established "connectiveness."
I would like to also subjectively argue that such criteria may end up diagnosing myself as having schizophrenia. I had history of depression during my bachelor thesis, have always lacked social skills since my childhood, and only recently practiced to move my facial muscles more in preparation of becoming full-fledged lecturer. But overall, I think I function optimally without any psychoactive substance (other than caffeine, hehe).
I think if such criteria were to be established, it would be a good idea to give measurable evidence first (for example, by using ENMG or something else) before actually measuring someone's ability to detect facial muscle wasting. After that, it will only then be appropriate for someone to measure schizophrenia instinctually, to prevent overdiagnosis.
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In non-mathematical sciences what I observed is usually people apply the existing material and methodology to different location, species, scenario, conditions etc (May be some other type of research method may exists as I don't have full knowledge of them). And in mathematical sciences researchers either apply the existing methods (with possible modifications in the methods) to different problems or the extended the existing general results. (may be some other). So a natural questions arises what is a good research. I guess an intuitive way of thinking will be better than above?
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I think the following link will be useful
Best Regards Wajid Ali
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Hello there,
not sure if I'll reach anyone through this platform, i feel kind of lonely hahah. Currently working on my bachelor thesis and having several mental breakdowns thanks to the methodology chapter. since i'm not a big fan of statistics, I haven't really thought about my methodology choice a lot. I decided it based on intuition and "easy" methods i knew from previous projects (Likert scale). It turns out that this was not such a good idea... :-)
So my aim was to find out the impact of citymarketing events on the local retail sector. Do these events (town fair, open for business sunday...) benefit the retailers? Do they have a positive impact? Do they gain more customers? Do they make more profit?
Unfortunately, the retailers didnt give out real numbers such as profit, revenue,....
because of that i let the local retailers rate some statements with a likert scale. For example, "the revenue on the day of the event is higher than on a regular business day" or "on the day of the event, more customers are in my store". Then they rated it from 1-6 (totally agree - don't agree at all).
My problem is now, that i can't find any experts /researchers saying this is the right method to answer the research question. which is obvious, because i haven't thought about it previously.
But i thought, maybe somebody here can help me or find somebody that said something that supports my stupid choice of methodology?
don't really know what to do now. Its too little time to change everything and i have to work with what i've got.
This thesis is giving me grey hair and i am thankful for every comment that brings me a step further.
thanks and love, eva
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Thank you Todd L'Herrou , Thank you Muhammad Farooq Muhammad, i feel way safer now with my choice of methodology! Thanks for the input, i will read it tonight! :-)
Mirna Leko-Šimić likert scales with even numbers do exist, in order to avoid the neutral option... the question remains whether it made sense in my research project :D Thanks tho!!
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In physics, many problems arise in the form of boundary value problems in second order ordinary differential equations. We are discussing here the Matrix Variational Method, as an efficient approach to bound state eigenproblems [1--8], proposed by the author starting in 1977 and used in top peer-reviewed literature in physics, in general [1,6,7] and in the calculation of scaling laws of Rydberg atoms [2], bound states of QM systems [3], bound states of three quarks [4,8], and other areas, such as [5].
We will also use this RG space in a new way, to conduct an open course, as a discussion. This course is physically offered at the same time, in Pasadena, CA.
The objective here is to present the topic as a method in mathematics, for second-year students in college, generally when they see differential equations, not just the epsilons and deltas of calculus, but the more advanced tools and intuition used in physics and maths.
This discussion will aim, as much as possible, to be free of the original connection to physics, in order to be more easily used in other disciplines. It represents the “translation” of a method in physics to mathematics, for general use, while benefiting from the physical intuition that started it.
We will use the theorem that says, “Any second order linear operator can be put into the form of the Sturm-Liouville operator,” and treat the Sturm-Liouville operator in closed-form. This will be done not by using eigenfunctions of any expansion, but an expansion that already obeys the boundary conditions for each case and provides a closed-form expression, which we will calculate following [1-8].
Contributions, and other examples, are welcome.
REFERENCES
[1] Ed Gerck, A. B. d'Oliveira, Matrix-Variational Method: An Efficient Approach to Bound State Eigenproblems, Report number: EAV-12/78, Laboratorio de Estudos Avancados, IAE, CTA, S. J. Campos, SP, Brazil. Copy online at https://www.researchgate.net/publication/286625459_Matrix-Variational_Method_An_Efficient_Approach_to_Bound_State_Eigenproblems
[2] Jason A C Gallas, Ed Gerck, Robert F O'Connell, Scaling Laws for Rydberg Atoms in Magnetic Fields, Physical Review Letters 50(5):324-327, Jan 1983. Copy online at
[3] Ed Gerck, Jason A C Gallas, Augusto. B. d'Oliveira, Solution of the Schrödinger equation for bound states in closed form, Physical Review A 26:1(1), June 1982. Copy online at
[4] A. B. d'Oliveira, H. F. de Carvalho, Ed Gerck, Heavy baryons as bound states of three quarks, Lettere al Nuovo Cimento 38(1):27-32, Sep 1983. Copy online at
[5] Ed Gerck, A. B. d'Oliveira, The non-relativistic three-body problem with potential of the form K1r^n + K2/r + C, Report number: EAV-11/78, Laboratorio de Estudos Avancados, IAE, CTA, S. J. Campos, SP, Brazil, Nov1978. Copy online at
[6] Ed Gerck, Augusto Brandão d'Oliveira, Continued fraction calculation of the eigenvalues of tridiagonal matrices arising from the Schroedinger equation, Journal of Computational and Applied Mathematics 6(1):81-82, Mar 1980. Copy online at
[7] Ed Gerck, A. B. d'Oliveira, Jason A C Gallas, New Approach to Calculate Bound State Eigenvalues, Revista Brasileira de Ensino de Física, 13(1):183-300, Jan 83. Copy online at
[8] Ed Gerck, A. B. d'Oliveira, The logarithmic and the square-root potential as confining potentials for quarks, Report number: EAV Report 02/79, Laboratorio de Estudos Avancados, IAE, CTA, S. J. Campos, SP, Brazil. Copy online at
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Demetris,
Thank you for your comment. It reminds me of a story by Isaac Asimov, where the word 'computer', originally meant for humans, became used only by machines, and so no one would even know how to add two numbers themselves, without a computer, until... they rediscovered arithmetic.
So, it seems important, and I will deal with it in the second report, but it includes a misconception. Mathematics is not computing, and more can be learned by understanding how things work, such as scaling laws, instead of blindly solving a differential equation. I see that several times.
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There are intuitions that we value as the grammatical intuition of a child who, without having a lot of grammatical knowledge, achieves an adequate use of the language. But what about statistical, political intuition or the controversial aesthetic intuition? This is a topic that touches epistemology, philosophy and psychology. I will hold your comments in high
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The greatest thinkers relied on intuition (Einstein, of course). Some people think intuition understanding is guessing. It's not. It's about drawing connections together without writing them down, unacknowledged reading, unacknowledged thinking.
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I found this CO2 Incubator for tissue culture and I've never seen one that wasn't glass-like polished shiny steel on the inside.
See the attached pictures. The inside looks like an aged copper statue.
My intuition is that this is not suitable for maintaining sterile mammalian cells, but I would like to get other's opinions.
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You can change the water tray for a glass one of similar measures, some are designed for the oven so they can be sterilized.
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Is there a systematic way of approaching this problem or are most researchers using guess & test or intuition?
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You can look into Hansen solubility parameters. For fibers, this publications explains and shows their effect
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I have experience in teaching in Europe (France and Ireland) and in the US. The ways of teaching physics doffer quite a bit. In the US, Calculus is not required. Therefore, a Physics teacher has to teach physics using algebra. While in France, Mathematics courses incorporate calculus, even basic calculus. Also Physics courses implement some 'maths tools' like derivatives and so on, which makes the physics course a mixture between conceptual physics and calculus based physics. Some French teachers might say that the level dropped significantly, may be, but this is still another approach much more calculus based. Landau's famous textbooks use calculus, while Feynman's lectures are more intuition based (even though one cannot object that calculus is also a part of the lecture, at a second level of reading, I agree). Some teacher say, we don't need calculus as one can 'feel' the concepts. Some others will say that we should use calculus to solve problems, as one uses a screw driver for DIY at home. I think this is an interesting debate (less controversial, or may be not) and as usual your opinions are more than welcome!
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From my experience, both are essential and reinforce each other. Concepts should be pushed forward by use of maths in order to introduce more advanced ones. This is how a science is built. I believe the teaching should follow the same path.
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I would like to know why point defect will not influence density .Please answer me with close reference to a proper diagram.My intuition is because of a localized affair but would be happy if anyone would highlught on the same.
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Density is definitely sensitive to the atomic structure of any material. A very simple example is to consider phase or allotropic transformations in materials. For example, carbon in the form of diamond and graphite have different densities.
The bottom line is, the packing efficiency of a particular structure determines the density.
Regarding your query about point defects, it is quite subjective. If the number of point defects is a significant fraction of lattice points, density will start getting affected. It is analogically similar to consider a material with a few casting pore and then comparing it with a metallic foam. The former will have the same density as the fully dense material, while the latter will not.
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Can non-native English speakers ( who are of course applied linguists) rate appropriateness of EFL learners’ speech act production elicited through Role-plays and Discourse Completion Tasks (DCT)? Would it be acceptable in Interlanguage pragmatics (ILP) research where recruiting native speaker raters could not be practical?
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hi. it depends . in my opinion, non-native speakers achieve some parts of pragmatic competence better than other parts. because they need using language in context. therefore, for non-native speakers , due to not less exposure to different structures in context, their judgment is not necessarily right in spite of a lot of exceptional cases. generally speaking, non-native and native speakers' views are different because of the diversity in the mount and type of exposure to structures enhancing pragmatic competence.
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I'm doing some quantitative comparisons of microbial community composition. I have two datasets (one is my own, one is a published dataset), and the two sets were sequenced with two different primers. My samples were sequenced from primers targeting the V4 region (515F/806R) of 16S rRNA, and the public dataset was from sequencing with primers targeting parts of the V3-V4 region (341F/805R). I've come across a few papers (Tremblay 2015 is a nice one) that talk about inherent primer bias and reveal biases in datasets from primers targeting more distant regions (V4 vs. V7-V8, for example).
I'm wondering if it's sound to just cut the extra ~200bp from the public dataset's sequences so they align to my own and I can pick OTUs from the whole thing at once. My intuition is that since the targeted regions overlap so much, primer bias should be minimal above the standard baseline, but I wonder if anyone else with experience in this area would have some ideas!
Thanks!
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I think there is always going to be bias with any primer set (there is no true "universal" primer). I also don't think you'll ever get a "full set of organisms" because you'll also have sampling bias, extraction bias, and sequencing depth bias. In addition, I would be careful about calling 16S community comparisons quantitative, unless you have internal standards or something to determine the total abundance in each sample, like qPCR. That being said, although I don't know the details of your experiments, you can still make pretty good ecological inferences as long as you are aware of the limitations of 16S data.
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Several instruments have been developed to measure intuition, including: Himaya's HINTS, Miller's MII, Pacini & Epstein's REI, Pretz & Foltz' TIntS, Rew's AUINS, Smith's SIINS. But I found out that they measure the preference of using intuition not intuition itself.
So if we want to measure the extent of intuition that professionals possess, what methods and means can we use?
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Good question about "Intuition Measurement". I think your opinion is about the right. But it needs more information.
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I feel uncomfortable working with truncated distributions at their truncation point. A truncated probability distribution can be very useful in modelling populations that are known to be finite for working with the bulk of the model. If there is very little data beyond a point, truncation is a simple and effective way to deal with the "finiteness" of the distribution. But a jump discontinuity of a density function to zero does not sound right. In fact, why would a jump discontinuity (jd) to zero be more justifiable than any other jd in a density function.
I know the basics of entropy, and something tells me that (sharp) truncation in a density function has a low entropy when selecting a model. I don't know if the Akaike criterion would favour a smooth, yet nonanalytic function above a truncated distribution or not? I don't know if discontinuities has any effect on the Akaike information criterion (it does add parameters).
Also, from a formal point of view, a truncated distribution does consist of two separate analytic functions: the "support", and the part above or below which it is zero.
I am stating what I think the answer is, but is a truncated distribution not a bad choice for a model where the region of truncation is of importance? And is my suspicion correct that entropy maximization does not favor truncation?
"The only real, valuable thing is intuition" A. Einstein
"...trust... your gut instincts. If you feel something is wrong, it usually is" Anonymous
And I am sure that even Popper would agree that you should pay attention to your intuition is it relates to something being WRONG.
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I think that a sharp truncation is probably more artificial and a scientific simplification for many phenomena. The characteristic of the entire object, process or region should determine a natural sharp truncation. For example, the length of a crack in a window pain is limited by the geometrical size of the window (besides further influencing factors).
Besides, the estimation of the truncation point by a maximum likelihood method does not fulfil the regularity condition, which must be fulfilled for many properties and applications of the maximum likelihood method. One result of this item: the estimation error of classical maximum likelihood estimation is (asymptotically) normally distributed. The estimation of a truncation point with the corrected maximum likelihood estimator result in an exponential distributed error. The Akaike information criterion (AIC) should not be applied in such cases. I only applied the AIC to validate alternatives with the same estimation for the truncation point (https://www.researchgate.net/publication/262568654_Modeling_of_magnitude_distributions_by_the_generalized_truncated_exponential_distribution).
I expect that a mixture of sharp truncated distributions better describes many phenomena. However, formulation and estimation of such a (more complex) model is more difficult and needs a large sample size. Therefore, simplifications are applied.
I apologize for my poor English.
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A recent article on attitudes and learning describes a weak relationship between attitudes and learning in Physics. What other research is there that shows a relationship between attitudes and motivation related to learning outcomes?
Our intuition tells us that the result of the study above is surprising, so what else is there?
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first we have to make liveness in class and then create a positive attitude among students about the subject.
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As a mathematician trying to understand the way the Signal-To-Noise ratio works in Digital Signal Processing, I have the following observation:
A signal is recorded, suppose I recorded a class lecture. When I insert this recording in audio-software which shows the recorded sound waves over time, I am able to determine the amplitude of the teacher's spoken voice and the amplitude of (static class) noise when the teacher is silent for some time. Suppose my recording indicates that the amplitude of the sound waves when my teacher speaks is at 50 dB and 20 dB when he is silent. For a signal-to-noise ratio I would instinctively divide 50 over 20, obtaining a ratio of 2.5. Or maybe more instinctively, the noise is 40% of the total incoming sound (noise-to-signal). Is my intuition failing me because the scale of sound (dBs) is not linear?
From one source I read that I could interpret determining the signal-to-noise ratio as [Teacher+Noise in dB]-[Noise in dB]=[Signal-to-Noise in dB], which would result in a 30 dB signal-to-noise ratio in the above mentioned example. Can anyone confirm if this is correct?
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Signal to noise ratio (SNR) is usually expressed in dB, especially in audio and sound applications, because of the very large dynamic range of human hearing.
As a mathematician, you should ask yourself: If I have a physical quantity x with huge dynamic range, and then, in order to compress its dynamic range, I take the logarithm of x using y = log(x), what are the physical dimensions that I should ascribe to y? If x is power in Watts, for instance, then what units should you give to y = log(x)?
Take some time to answer that now....Look up some series expansions for log(x) for starters..
...What you should conclude is that it is WRONG to construct a new variable y=log(x) whenever x is NOT dimensionless. (The same is true, incidentally, for sin(x), exp(x), etc...)
Rather, what you should do is first make a new dimensionless quantity x'=x/x_ref, where x_ref is any reference value for x. In audio, x_ref is the minimum perceptible sound level. It is set by convention. Then both x' and y=log(x') are dimensionless quantities, and we have mapped dimensionless x' (a ratio) to dimensionless y.
This is roughly what dB is doing, when we take y = 10 log10(x/x_ref) to convert x into dB. We are simply converting one dimensionless ratio into another, but we always remind ourselves and the world that we have made this conversion by including the dimension units dB when reporting y.
For signal to noise ratio (SNR), we have a mean signal power x in Watts, and mean noise power n in Watts. And then:
  1. Your sound meter will read sound pressure levels of X_SPL = 10 Log10(x/x_ref) dB, and N_SPL = 10 Log10(n/x_ref) dB.
  2. Your signal to noise ratio in linear units is snr = x/n
  3. Your signal to noise ratio in dB is SNR = 10 Log10(snr) = 10 Log10(x/n) = 10Log10(x/x_ref * x_ref/n) = 10Log10(x/x_ref)-10Log10(n/x_ref) = X_SPL-N_SPL dB
In your case, if the signal of interest X_SPL has a sound pressure level (SPL) of 50 dB (your teacher, as measured by your sound level meter), and the background noise level N_SPL is 30 dB (as measured by your sound level meter), then the SNR in dB is SNR = 50 dB - 30 dB = 20 dB -- much as you have it at the end of your question.
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Do you have formal models of Intuition and Image Thinking? Thank you, Yurii
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What are the objectives of the PhD program? Do you know of publications that deal with formal models of intuition? Thank you.
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It seems they may actually be somewhat interdependent.  For example, highly inharmonic combinations of tones are likely to yield the same sensation of dissonance that is often used to explain roughness with an example.
Forgive me if this question is already answered in a published paper.  If it is, a reference is sufficient.  A verbal description would be most helpful to me, but of course I can also take the time to decipher a formal mathematical one as well.
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You might find the following introductory account helpful: http://www.tankonyvtar.hu/hu/tartalom/tamop412A/2011-0010_szigetvari_timbre_solfege/ch04.html , including the reference to Beauchamp, James W.: „Analysis and Synthesis of Musical Instrumental Sounds”. In: James W. Beauchamp (ed.): Analysis and Synthesis, and Perception of Musical Sounds, The Sound of Music. New York: Springer Science+Business Media, 2007. 1-89.
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Positivism assumes that the social world exists objectively and should therefore be measured using objective methods rather than subjective ones such as intuition.
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Positivism was a theoretical trend that arose from the need to place equal value on the social and natural sciences. The weight of scientific rigour and systematicity were soon questioned in sociological and cultural analyses. From there, post-positivism arose and we moved from the "experimental" designs of the Natural Sciences to the "quasi-experiments" where randomness and other elements of culture interfered with the scientific rigour of the social sciences.
It is extremely curious to see how even today the objectivity of the "number" that was invented by the Egyptians continues to play an important role in reducing reality. The data supposes a simplified vision of a complex reality, which is why today positivism (as a science of truth) is used very little in favor of more holistic and comprehensive qualitative practices.
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We all know that some foods (cheese, natto, durian, stinky tofu) smell quite disgusting but have a great taste. Can anyone clarify the chemical basis for this phenomenon? My intuition is that it has something to do with the volatility of the different aromas (the bad ones are more volatile, so they are smelled first, while the good ones aren't perceived until the food is chewed).
My goal, for a university project, is to manipulate aroma additives to produce a food that smells disgusting (sulfuric, decaying) but has a normal and pleasant taste (raspberry, chocolate, etc)
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Most of the smelly foods are protein-dense, so on metabolism they liberate amines, which are known for their disgusting smell..one of them goes by putrescine after all...
Also, these protein-rich foods have tyrosine, tryptophan etc...which are neurotransmitter precursors...so they impart pleasant feeling...
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You should determine comparison matrix yourself and you can use intuitionistic fuzzy numbers. but if your question is that how you can do your calculation by those numbers there are several methods for it and you can easily find them by searching.....
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Broadbent in his model presents  The dichotic listening task  in the selective attention and  The participant’s task is to pay attention to, or shadow !!
After listening, the participant remembers the sounds he has heard before
for both the shadowed and unattended channels 
Please explain
My greetings * ahmed *
 
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The task is designed to look at the effects of the limited resource for attention. The participant is asked to repeat each word on the "shadowed channel" as the words are heard, i.e., create a shadow of the incoming words. That task ensures competition for any attention to the other channel ("unattended").  The speed of the recording on the shadowed channel can be adjusted.to make the task more or less demanding of attention. 
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Is this even a meaningful question, in the sense of having specific parameters and scope that define it? What are its underlying assumptions, or, better, what questions must first be asked and answered before even the first question can be answered?
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Look to their school of training, recent CPD courses, and references to the method developed from theoretical frameworks in their clinician reporting/protocols.
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The test should consist of 3 dimensions; one for measuring analytical intelligence; one for measuring creative intelligence; and one for measuring practical intelligence.
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Dear Dr. Alzoubi,
of course, you are very welcome.
Take care, Rainer
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I came across a piece of literature which suggests that the characteristic length for calculation of wind turbine should be the rotor diameter, but my intuition suggests that it should be the chord length of the blade at that given radius. Please help.
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Dear Vedant,
R = UL/Nu where L is the length that characterizes the scale of the flow. This might be the chord length on an airfoil.
With my best regards
Prof. Bachir ACHOUR
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I am interested to identify tendencies of reasoning among students of design in order to prepared better exercises and tasks for my courses. Any suggestion may help.
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Thank you guys for the contributions and insights
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What does it take to do phenomenal inventions?? What researchers must have in their minds?
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A scientific researcher tries to approach a problem with a well-founded model that can be verified by experiments or by mathematics.
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Dear Researchers,
I'm currently doing a survey on the intuitive understanding of complexity of objects
and would like to ask you for 8 minutes of your time to answer a few very
simple questions from the survey[1]. This will hopefully help to better
understand and characterise the complexity of objects. The survey does
not gather or store any kind of personal information, and it does
not require any prior knowledge or skills. Your help is greatly appreciated.
With kind regards
Felix Baumann
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How so?
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decision making, motor skills, brain, neurosciences
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Complex question, dear Silvia! Classical neurobiological studies examined creativity beginning from the different functions of the cerebral hemispheres: the logical-symbolic-linguistic functions are chiefly linked to the left hemisphere whereas the holistic-generalist-emotive functions are chiefly linked to the right hemisphere. Although the hemispheric functions are broader and still poorly understood, there doesn’t seem to be any doubt about the supremacy of the left hemisphere in symbolic-linguistic activities and in computational processes. Various studies on hemispherical asymmetries, through fMRI, suggest that creativity is correlated, on the one hand, to a stand by of the left hemisphere and on the other, to an intense activity of associations, metaphors and analogies in the right hemisphere, which would generate new perspectives on things. The role of the right hemisphere in the discovery of new explanations is demonstrated by its involvement in a series of functions such as perception, imagination and visual and musical artistic creations. The sudden discovery of the solution to a problem mainly has to do with the right hemisphere. For example, the correct response in a test corresponds to a rapid activation of the right temporal lobe, in particular of the right anterior superior temporal gyrus, which is preceded by a sudden change in activity of the prefrontal cortex, an area involved in different cognitive and executive tasks. These different hemispherical skills have led to the hypothesis that the creative, emotional and instinctive processes of the right hemisphere are opposed to the rational ones and to the semantic-cognitive activities of the left hemisphere.
Now, as is evident in the martial and dynamic arts, the reduction of the time lag between action and reaction corresponds to the reduction of the cognition in a motor programme, to the extent that it becomes simultaneous in exceptional cases. The ‘unaware structures’ take the place of the ego, by making use of the abilities acquired with a conscious effort and by favouring the passage from a state of voluntariness to free instinctivity. This phenomenology of new sequences of action which are fluid, flexible and original, brought about by the weakening of awareness (and of attention), is heterarchical and allows for the rapid passage between cortical and subcortical modular structures. It is plausible that innate clusters of action (stratified in archaic matrices) are activated by interaction with the environment, with the birth of new flexible and original sequences of action, even if only a limited number of them prevail. According to this hypothesis, more flexible executive functions could give rise to motor combinations from indeterminate, unpredictable and non-linear results, that is, to open dynamics not linked to complete and detailed knowledge of the environmental variables, for flexible and adaptively advantageous decisions.
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In behavioral economy, a "risk owner" is clearly defined as a person or a decision maker.
But in financing and investment theory, the risk ownership is less clear. In a corporate setting, who owns the risk of a large project? Is it the project manager? Is it the CFO? Is it the CEO? Is it the Shareholders?
Does anyone know of literature examining risk ownership, or can you provide definitions of a "risk owner"? Alternatively a source on how the responsibility is shared among the stakeholders would be appreciated.
I.e. if a project has a reserve capital, is that then to be controlled by the "risk owner". And can you be a risk owner without access to a reserve capital?
I find myself starting to use "risk owner" in my work and publications, but I must admit it is an intuitive use and not one based on an accepted definition, and I would happily adapt to an established definition.
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A risk owner may not be associated to a project. Perhaps more suitable to define the risk owner as the entity that is assigned responsibility for executing the strategic objectives that carry the specific risk. I think that would cover the business process owner as well as the project champion, plus more.
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In sense of science, phenomenal concepts are discernible and reducible. So, are these extraordinary events. i.e., extrasensory phenomena like intuition, explainable? Intuitions may be considered as perceptions of inexplicable modalities but that which cannot be explicitly observed.
Quite often some myths turn out to be facts on account of scientific truths brought forth. But how about that when something occurring yet cannot be accounted for by means of tools of scientific reasoning―turns into a myth? An astute scientific observer’s job is to investigate these given myths and turn them into observable phenomena (physicalize). Note that something which is incompatible with the truth of physicalism─ is a mystery, unless proved otherwise. Yet, there is nothing mystical or phenomenal in such sense about the experiences of the mind, or consciousness. Consciousness and mental states are not incompatible with the brain functioning. They co-exist, the one latter (brain) supporting the one former (mind). So, what is so mysterious about this coupling? And from where does these extrasensory phenomena arise? 
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It is an interesting question you pose, and you seem to be revealing yourself as a physical reductionist. Do you think an investigator's job is to make the all the mysteries of thought, feeling, and intuition "turn into" observable physical phenomena, as if this would fully account for them? You ask what is mysterious about the coupling of the mind and the body, as if  the mind's correlation with the brain activity is enough to explain all there is to know about it. If consciousness, thought and feeling and intuition, is an emergent property of brain activity that does not mean this emergent property can be fully explained by said brain activity. Intuition may be thought of as a form of implicit learning, the coming together in the present moment of accumulated knowledge and experience in in lived time.  This does not explain it away. This theory does not help us access our intuition more effectively. How do we know when someone is looking at us? How many times have you been looking at someone and they turn to meet your gaze? How many times have you felt someone looking at you and turned to see them look away? What explains this? There is indeed mystery here. We may someday correlate it with certain brain activity, but will this help us navigate the bodily felt lived experience of being a person in an inter-subjective world?
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It strikes me that the longstanding debate about this issue does not include (at least to my knowledge) a comparison of the responses given by adults with social experience vs. children. The results of such a study may have bearing on Singer's (2005) conclusion that we shoud simply jettison our moral intuitions about this problem as the biological residue of our evolutionary history.
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At the present moment, I'm not aware of, but I would suggest you to see the works of Nancy Eisenberg, of Gustavo Carlo, and of Joshua Greene.  Perhaps Georg Linz too... Good luck!
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Does anyone also measure difference between probability and higher success when humans are intuitively selecting right answer?
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yes
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I appreciate if anyone can help me to better understand the difference between interaction term and heterogeneity code (RPL) in random parameter logit model for NLOGIT/LIMDEP.
For example how differently should I interpret following two models for my attribute and interaction term:
Model 1: I added to my model an interaction term income*attribute as a variable in addition to attribute itself (normally distributed).
Model 2: I rather used ;RPL=income; Fcn = attribute(n) instead of model 1.
I am also looking for an intuitive explanation for the difference.
Thank you very much!
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Dear Raja,
Thank you very much for your thoughtful reply.
I think my question is highly context dependent and as a result of that I suspect you thought I asked a question about heteroscedasticity.
In a random parameter setting: βi = β + δzi + σvi, vi ~ N[0,1], where heterogeneity is obtained from zi,
It allows that mean can vary among individuals according to income z. I was not sure whether I can interpret interaction of a random parameter similar to a interaction term.
The code that I write as RPL defines the zi part and for heteroscedasticity I would have to write "HFR= income" ( which would affect σvi part).
Thank you though I appreciate your help.
Best,
Cem
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If yes how do you make your decisions in this kind of situations?
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Some work have been done on visual perception of distance, Gladwell we'll talks about the "picture problem", and Wolfram discusses some limits to our visualization capabilities as humans. Personally l'll look for inspiration from Edward Tuft's efforts when an existing method fails me-perfect combination between numbers and art.
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Hello,
Let us consider the classic random walk:
x0 = 0, xn+1 = xn + rn,
where rn are equally distributed zero-mean Gaussian random variables. It is well-known that the probability distribution of xn is a zero-mean Gaussian with standard deviation proportional to sqrt(n).
Now, I will say that the instant k is a zero-crossing for a particular realization of the random walk iff  xk has opposite sign than xk+1, and I will consider the random variable T defined as the temporal distance between two consecutive zero-crossing.
What can we say about the probability distribution of T?
My intuition would suggest such probability distribution is time dependent and its expected value would also grow as sqrt(n). Am I correct or wrong?
I thank you all, Giuseppe Papari
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there is no reason for the distribution of the duration beween successive zero-crossings of a simple random walk to be time-dependent : every time the random walker crosses the zero line, you can imagine it is "reset" : as there is no memory, crossing the zero line at time 100 or crossing the zero line at time 100000 leaves the random walker in the same - physical time-independent - situation (see the notion of "random walk local time" for technical details)
in addition to Markus references above, you might be interested in
and references therein
.
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Can this be accepted as a bridge between the quantum and the macroscopic level by introducing new elements such as quality, degree of order, consciousness, arrow of space, and time? Interpretation of observation and experience as two different events? The selection of only one event in opposition of the possible statistics of uncertainty events?
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This is interesting, I am further working on it. But Kant and intuition I don't see it for the moment. And intuitive math I just heard of it a couple of days ago by Errki Brändas
It has some potential.
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"Intuitive and creative decisions under uncertainty and limited time positively associated with the use of data visualization in Business Intelligence tools"
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One argue against it is one of Tufte's Design Principles. “Graphics give the viewer the greatest number of ideas in the shortest space of time using the least ink in the smallest space”. So, it could be useful.
However, the available vis in BI tools are very weak in general, and therefore they are somehow dangerous for wrong interpretations --> finally agree but only when vis is done not in a good manner.
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Especially in the realm of psychiatric assessment and treatment, reductionistic methods are often unable to accurately and consistently identify the etiology of a disorder. Does the answer to this problem lie in improving existing reductionistic methods, or rather in incorporating more intuitive or non-linear forms of investigation?
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A crucial question considering the current funding skewed towards Random Control Trials. Given the complex nature of mental distress/disorders, a range of methodologies are essential If we take Popper's concept of falsifiability, it is essential to use case studies ( and I would argue participative action research) which can potentially refute the hypotheses of empirical research. Funding should therefore be directed to a wide range of research projects.
I agree with the importance of recognising different explanatory methods and I would also argue that it is crucial to articulating the underpinning beliefs of different paradigms. Mental health and disorders have changed across time and place not only in response to empirical research but also according to the prevailing ideologies and dominant beliefs of the time. Failing to understand the influence of the social construction of concepts such as mental health can contribute to the status quo in which random control trials are privileged over developing knowledge from practice in action research or in exploring the phenomenological experience of mental health and of the biopsychosocial factors , which impact on such experience and of action research
Whilst I acknowledge the importance of RCT's, I am interested in why random control trials remain so dominant in an era when current science (such as epigenetics) contributes to an understanding of the complex interaction of factors that can influence the emergence of illness across the lifespan.
I hope this debate continues. Thank you for the discussion so far.
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Many say, intuition plays an important role in many disciplines, not at least in those that demand rigorous thinking, e.g. physics and mathematics. Can we measure the extent of 'looking inside' in laying out an idea, proof, or any other improvement of science and technology? Or, do you contest the importance of intuition in the progress of science?
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Yes we can. However, it also depends upon various other psychological, physical, social, and cultural constructs.
What is your context? And how you define it? Basically, all these factor plays an important role in what you want to measure.
Here is our recent paper where we measured 'intuition' objectively in cultural and digital context.
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How would I research pre-cognitive judgment when it comes to a product's design? Specifically, I'm looking to see if there's a way to measure an individual's intuition and judgment of condom packaging and design at a level where they cannot explicitly say why they like/don't like the product. I've been racking my brain about how to even start designing a research project around the topic. I think I'd need to start by examining structure and development of mneumonic networks in certain populations, and then compare them to actual findings, but I'm clueless as to how to measure how an individual interfaces with a product without asking them questions.
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Thank you! These are excellent suggestions! Another question: were I to pursue this line of research for a PhD dissertation, in which department would this be most relevant?