Figure 3 - uploaded by Francis Beauvais
Content may be subject to copyright.
Consequence of the interaction of two cognitive states for the same experiments. Cognitive states gain information on the outcome of an experiment always through the macroscopic environment. The macroscopic environment is submitted to tiny fluctuations in the interval. The experimenter obtains information on the state of the experimental device either "directly" or through other sources such as the interaction with another observer Nevertheless agreement between these different sources must be respected. It can be demonstrated that only two positions are stable: "expected" results and observed results are either always concordant (θ = +π/4) or always discordant (θ =-π/4). See text for details on calculations. Eight examples of computing of the probability to observed concordant pairs are shown in this figure (at each iteration, a very small elementary change of probability of concordant pairs is applied in this computer simulation: from0.5 to +0.5 × 10-15 ).
Source publication
Benveniste’s experiments have been the subject of an international scientific controversy (known as the case of the “memory of water”). We recently proposed to describe these results in a modeling in which the outcome of an experiment is considered personal property (named cognitive state) of the observer and not an objective property of the observ...
Contexts in source publication
Context 1
... evolution of Probquant (ABCP) after a series of random microscopic fluctuations is computed in Figure 3. We see that only two positions are stable. ...
Context 2
... depicted in the previous section, two stable states were obtained after transition (with θ = +π/4 or θ = -π/4) ( Figure 3). Nothing in the formalism allows favoring one of the two solutions. ...
Context 3
... transition, the relationships of "labels" and their respective outcomes must be either all concordant or all discordant. Since the association of "↓" with inactive sample is a concordant pair, the asymmetry introduced by the biological system at rest permits only the solution corresponding to θ = +π/4 ( Figure 3). ...
Similar publications
One of the principal advantages of affordance-based design is that Gibson's theory of affordances is a relational theory, akin to other relational approaches such as relational biology and relational computer science. The relationships between artifacts and their designers and users are of such primary importance that only a theory that is able to...
Is it possible to understand the very nature of 'Life' and 'Death' based on contemporary biology? The usual spontaneous reaction is: "No way. Life is far too complicated. It involves both material- and an immaterial dimensions, and this combination exceeds the capacities of the human brain." In this paper, a fully contrarian stand is taken. Indeed...
A number of real world problems in many domains (e.g. sociology, biology, political science and communication networks) can be modeled as dynamic networks with nodes representing entities of interest and edges representing interactions among the entities at different points in time. A common representation for such models is the snapshot model - wh...
MoS2 is widely used in many fields including spin-valleytronics, logic transistors, light emitting devices, clean energy and biology. However, controllable synthesis of two-dimensional MoS2 sheets remains a great challenge. We report the formation of round-shaped monolayer MoS2 domains with a tunable size and the shape transformation from triangle...
Predictive biology is elusive because rigorous, data-constrained, mechanistic models of complex biological systems are difficult to derive and validate. Current approaches tend to construct and examine static interaction network models, which are descriptively rich, but often lack explanatory and predictive power, or dynamic models that can be simu...
