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We know that obsessed by prevailing stupidity, the main problem of Ockham was that he could not understand the lengthy explanations of the others on systems of life, with the consequence that he found himself having to take every day mountains of notes to be simplified. One day the spark snapped and caught fire the city of London. Occam came to two conclusions:

a) The wood burns better if you pour on alcohol

b) either someone simplified linear equations, or would not ever understand.them

Taken from this last thought, he formulated the ‘teoria prima’, i.e. what today is called Occam's Razor. The latter, penetrates with pitiless safety in the forest of disorderly too many metaphysical schools and cuts inexorably entities and concepts redundant, in obedience to a policy of "economy" of all modern taste: much debated was then the dispute over the intellect between Thomists and Averroists. For some, it was personal, for the other impersonal. If personal, it had to be identified with the Word of God, or conceivable as a quid intermediate between the Divine Word and the real intellect of men?

William of Occam does not allow to be taken by the question, and raises a simple question: "is it necessary to distinguish between an agent and a passive intellect? Doesn’t it have only a mental value?". In his reply he denies the value of this distinction comes the affirmation of the unity of the soul with its cognitive act.

The same question is for the Aristotelians, who proclaimed it necessary the intervention of categories and universal principles in the cognitive act, "is it necessary ‘de facto’ or just words?".

His answer reveals the empirical and nominalistic character of his philosophy: only source of knowledge is the sensible intuition, which presents individual objects and leads us to a judgment on their actual existence; all other forms of knowledge derived from it. Continuing in this rigorous empiricism, William of Occam denies any actual reality to universals: intuition captures only individuals and they do not possess any universal nature. In fact, if it existed in the individual, or it would be part of himself, and then it would not be universal but individual, or would not be part of the individual and then it would mean that these can exist without it. William of Occam concludes that the so-called universals are only "names" with which you label groups of special insights. But they remain outside of the objects and do not represent the essential nature.

With this nominalism William of Occam was opposed both to the theory of abstraction of the Thomist school as to  "common nature" of Duns Scotus, but above all it  pointed out the uniqueness of the intellect because unique is the set of cognitive operations: memory and conceptual knowledge not departing from the empirical intuition. Then you must acknowledge that the “logical razor "Occam" cuts the arid branch of the agent intellect and continues his work even amputating the species as unnecessary intermediary between the object and the senses. Along the same lines William of Occam criticizes concepts of substance and cause: our knowledge of the objects runs out in the clarification of their quality; the substance would be only a negative entity, a non-quality and therefore useless to the effects of knowledge; experience also introduces us to the only differences between the various objects and the laws governing the succession of different phenomena, but inside them it can be seen no causal link and therefore this is a postulate without justification.

It is in a certain sense relaxing way to reflect on the smart simplicity of Occam, taking advantage of what has been written - in the form certainly semi-serious by the ironic Professor Fabio Cardone. We quote literally his "Commentary on the physical theories – the Occam's razor".

The first possible comment to the physical theories starting from the ‘democratic’ razor is that they are also based on the fact, subjective, of a democratic principle: what is plausible is more acceptable if the majority accepts it.

The second comment is that physical theories are based on another subjective fact, the so-called aesthetic principle: what pleases the majority is accepted. In science, the union of the aesthetic and the democratic principles is humanly invincible and can be won, with patience, only by unambiguous experimental evidence, Galilei docet! A system of physics whose theories be the dialectic result of this union can not, and should not, be won with subjectively by pure human reasoning, but can be defeated objectively with experiments.

The third comment is the following statement. To believe that nature is simple is beautiful and easy, leading to explanations of minimum effort of understanding and consequently with more opportunities to satisfy the principle of laziness and that of aesthetics. The majority likes what is easy and calls it the simplicity of nature complying with the principle of laziness and it achieves the union of the aesthetic and the democratic principle: the razor

The razor cuts the possibility that nature be complicated, but it can not be excluded. Then we come to express the physical laws and the laws of nature by successive approximations, or by successive illusions of simplicity or better by subsequent razors: the physical theories. Knowledge apparently would be a succession of razor bumps, but sooner or later it's time to change razor. The choice of Lorentz, using a historical analogy on the theory of relativity, is the moment when you have to change razor, the former having the blade worn, unable to cut the new experimental evidence.

In the construction of a physical theory a question arises, why did not you accept the possibility that nature can be deceptively simple or seemingly complicated, and so fair-minded consider the two possibilities without being subject to the "principle of laziness."

The process of building a physical theory could start, instead of the razor, from the observation that the logic of nature is not human logic. The field of unchallenged domination of human logic is the language of representation of nature, by physical theories; such language can only be mathematical i.e. quantitative and synoptic in its ideogrammatic form. The task of human logic can not be to shave but adapt; always using the language, the logical characteristics of the entity measured by the logical characteristics of mathematics with which the theory describes.

It can be concluded with an example that illustrates and at the same time give the recipe operating of such a sort of principle of " logic adhesion " between the logic of nature, the objective data of the measured phenomenon, and human logic, the subjective data of the language used. If the measured variables have a discrete structure or continue it must search for a correspondingly continuous or discrete mathematics. In addition it will require that the unknown variables of the mathematical language are only those corresponding to the variables measured.

Dear Researchers,

Greetings from ACT-2018!

The Applied Computer Technologies (ACT) 2018 is an International Conference organized on behalf of the academic community in Ohrid. The conference is managed by University of Information Science and Technology “St. Paul the Apostle” – Ohrid, the Republic of Macedonia with the support of the Technical University of Varna, Republic of Bulgaria.

ACT 2018 aims to provide a comprehensive global forum for experts and participants from academia to exchange ideas and present results of ongoing research in the most state-of-the-art areas of computer engineering and technology. Different workshops and invited talks by eminent researchers will be held in line with the main conference.

On behalf of the organizing committee, we sincerely invite you to participate in ACT 2018 as authors, speakers and listeners, and we look forward to meeting you all in Ohrid, Macedonia!

The official language of the conference will be English. The participants can share their knowledge and ideas to map out the directions for the scientific community, in following main areas:

· Applied Computer Science

· Applied Mathematics

· Biomedical Engineering

· Blockchain Technologies

· Computer Science

· Distributed and Parallel Computing

· Economy, Management and Sustainable Development.

· Electronics

· Information Society and Social Development

· New Media Art, Science and Technology

· Power Systems

· Robotics and mechatronics

· Signal and Image Processing

· Telecommunications

We are herewith inviting you to submit your original, unpublished and high-quality research work to ACT-2018 as short papers (4 pages) or full-length paper (8-10 pages).

The submitted articles will be peer-reviewed. Accepted articles will be published as online conference proceedings with ISBN number.

• Abstract submission: 1 March 2018

• Acceptance notification: 9 April 2018

• Full Paper Submission Deadline: 25 April 2018

• Conference dates: 21 - 23 June 2018

Follow this link for Paper Submission https://easychair.org/conferences/?conf=act20180

Contact for registration act@uist.edu.mk

Follow the conference on LinkedIn, Facebook and Twitter.

Please forward this mail to your known contacts.

Thank You.

Best regards,

Organizing Committee, ACT-2018

This is the first time for me to try to organize a Book Chapters. I plan to write only a Preface or introduction based on what I gathered in this first attempt on the topic

So, I think for a start the chapters may include research or surveys/ SoK on:

-The economic game theoretic model (developed first by A. Roth, who won a Nobel prize on economy the same year) in

"Deceased Organ Donation and Allocation:

3 Experiments in Market Design"

Judd Kessler (Wharton)

Al Roth (Stanford ).

-Medical statistics research

(The main theme of the book should be avoiding living donations)

-Could fall in one of the above a research on the effect of increased deceased donations on decreasing the need of living donations, or on killing black markets of organ trading.

-AI or Algorithmic Game Theory research on achieving the optimal coverage of all needs, whether on a certain organ (here it doesn't mention the deceased idea, the research should elaborate on the deceased numbers and their effect on diminishing the need to living donations)

Or concentrating on deceased from the beginning

equilibrium

-Whatever is related and I missed if suggested early enough

To whom that are pursuing research near any of these topics and are interested to participate in such a book (targeting the Medical Information Reference of IGI), please contact me if you will be able to complete your full manuscript before the deadline in August.

[CFP]2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2024) - November

As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future.

2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2024) will be held in Chengdu, China on November 15-17, 2024. Since the beginning of the 21st century, the progress of big data, artificial intelligence and risk management science has promoted the prosperity and development of the society and economy. Many universities and enterprises have developed many related technologies and products, and have achieved fruitful academic results and application transformation. The purpose of the conference is to provide experts, scholars, engineering technicians, and R&D personnel engaged in big data, artificial intelligence and risk management technology with a way to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote A platform for cooperation in the industrialization of academic achievements. The conference sincerely invites experts from domestic and foreign universities, scientific research institutions, scholars, business people and other relevant personnel to participate in the conference.

ICBAR 2024 Postponement Notice: After careful consideration, 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2024) scheduled for June 28-30, 2024 has beenpostponed to November 15-17, 2024. We apologize for any inconvenience this may cause and appreciate your understanding.

◕- Big Data, Artificial Intelligence and Risk Management

· Data analysis

· Data mining

· Modeling

· Natural language processing (NLP)

· Risk management systems

· Data integration and visualization

· Data management, analysis and information retrieval

· Object detection and recognition

· Network security

· Open knowledge computing

· Distributed data processing and integration

· Risk recognition

· Artificial intelligence algorithms

......

Full Paper Submission Date: September 20, 2024

Final Paper Submission Date: November 5, 2024

Conference Dates: November 15-17, 2024

During the SARS-CoV-2 (Covid-19) coronavirus pandemic, due to quarantine periods implemented in many countries, restrictions on the use of physical retail outlets, cultural services, various public places and government-imposed lockdowns of business entities operating in selected, mainly service sectors of the economy, the use of web-based videoconferencing platforms increased significantly. In addition to this, the periodic transfer of education to a remote form conducted via online video conferencing platforms has also increased the scale of ICT use in education processes. On the other hand, since the end of 2022, in connection with the release of one of the first intelligent chatbots, i.e. ChatGPT, on the Internet by the company OpenAI, there has been an acceleration in the development of artificial intelligence applications in various fields of information Internet services and also in the implementation of generative artificial intelligence technology to various aspects of business activities conducted in companies and enterprises. The tools made available on the Internet by technology companies operating in the formula of intelligent language models have been taught to converse with Internet users, with people through the use of technologies modeled on the structure of the human neuron of artificial neural networks, deep learning using knowledge bases, databases that have accumulated large amounts of data and information downloaded from many websites. Nowadays, there are opportunities to combine the above-mentioned technologies so that new applications and/or functionalities of web-based video conferencing platforms can be obtained, which are enriched with tools based on generative artificial intelligence.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

National Conference On

(Feb, 15, 2025, Prayagraj, Uttar Pradesh)

(www.swadeshisciences.org)

(www.iwwa.info)

(https://www.mnnit.ac.in)

The conference on Sustainable and Holistic Approach Towards Supply and Waste Management of Water and Infrastructure aims to bring together experts, researchers, industry professionals, and policymakers to discuss and share knowledge on the critical issues surrounding water supply, wastewater management, and infrastructure sustainability. In the face of growing urbanization, climate change, and resource depletion, there is an urgent need for a sustainable and integrated approach to water supply and waste management. The conference will focus on innovative solutions, technologies, and best practices that ensure efficient water use, minimize waste, and support the development of resilient infrastructure systems. The abstracts are to be submitted in Hindi and English (Bilingual) languages, however the full papers can be submitted either in Hindi or English.We invite contributions in the following areas:

· Sustainable water sourcing and distribution

· Innovative water conservation methods

· Decentralized and alternative water supply solutions

· Smart water metering and management systems

· Climate-resilient water supply strategies

· Treatment technologies for industrial and municipal wastewater

· Circular economy practices in water and waste management

· Integrated wastewater management systems

· Wastewater reuse and resource recovery

· Addressing pollution and contamination in water bodies

· Green infrastructure for water management

· Resilient infrastructure design and planning

· Life-cycle assessment and sustainability of water-related infrastructure

· Innovations in water storage and distribution networks

· Smart cities and water management technologies

· Water governance and policy frameworks

· Community engagement in water and waste management

· Education and public awareness on sustainable water use

· Economic and financial models for sustainable water infrastructure

· Role of digitalization and IoT in water and waste management

· Artificial intelligence and machine learning in water systems

· Remote sensing and data analytics for water quality monitoring

· Blockchain for water and waste management transparency

· Innovative civil engineering materials

· Geotechnical engineering and water resource engineering

· Innovation in Environmental Engineering

Submit the bilingual abstract (Hindi and English) and full paper (in any one language, Hindi or English) on the Email ID: ssmind1980@gmail.com

My interest with the science and technology curriculum dates back more than ten years ago in Nigeria when I began as a fresh biology graduate teacher with the aspiration of literally igniting the classroom. I finally had the license and authority to teach integrated science/biology and management which entrusted me to groom learners to be “great!” scientists. Shortly into the adventure towards greatness, I realised that the process was already pre-determined, and I was expected to tinker with classroom interactions within the boundaries of a western science and technology curriculum which did not recognise and acknowledge the learners’ culture and interaction within their natural environment. The goal was to cover the syllabus- and any thought of introducing new content to relate to learners’ culture and language was frowned upon. There was no room for knowledge for its sake, a teacher was in class to teach and how well one taught was evident through students’ exams. But I wanted to excite the learners, introduce them to new concepts and ideas based on their cultural practices and beliefs, make them think, and yearn to know more.

Soon enough, the parents and guardians came to expect more from schools: they had high expectations that school would transform their children to fit into the western culture. In some cases, they even saw the teacher as a miracle worker of sorts, after all, a teacher could make a child learn. A common assumption was that schooling would shape the children to become successful citizens of the country and the teacher would be the one person to ensure this happened. However, things were not as simple, and practice was indeed different from the western theory and practice covered in university lecture rooms.

It gradually dawned on me that maybe the science and technology curriculum would yield different results if it catered to the unique classroom circumstances that the teacher faced. I had come to expect more from the learners, and by extension, I expected to offer more as a teacher. This conviction inadvertently led me on a journey to try to change the way science and technology instruction was carried out, through research, curriculum development and reform. As a research practitioner, I would question and investigate Nigerian teachers’ perceived challenges of teaching a western science and technology curriculum.

My educational and work experience in Nigeria led to my realisation that policymaking was complicated, and any change to the science and technology curriculum would require extensive decision- making at a national level. It was a humbling realisation to look back and trace my path from a student to a biology teacher and now as a research practitioner. All through, the idea is to contribute towards changing the Nigerian science and technology curriculum and make it better for the learner, the teacher, and ultimately, the country.

I think a lot about how innovation can help Nigerian schools. What are teachers’ perceived challenges of teaching western science and technology curriculum in a country rich in diverse cultural and language heritage? How can new approaches help teachers best serve the unique circumstances they face daily in the classroom? How can the education system best address the needs of a developing economy and propel it to the heights of industrialisation?

It has always been the desire of successive governments in Nigeria to bring about system reforms in line with national and continental aspirations. At the African Union level, member countries have agreed to Agenda 2063, which includes education aspirations to catalyse an education and skills revolution and actively promote science, technology, research, and innovation, with the goal of building knowledge, capabilities, and skills for Africa’s future. This is given impetus by the African Union’s vision of an integrated, peaceful, and prosperous Africa, driven by its own citizens to take up rightful place in their global arena. This requires pursuing a process of change guided by evidence-based decision-making, supportive legislative frameworks, and resource allocation to the actual teaching and learning process in science and technology. Can Nigeria achieve this goal with a western science and technology curriculum?

Philosophy looks in a rational way at aspects such as knowledge (epistemology), existence (metaphysics), methodology (logic and language), values (ethics) and beauty (aesthetics) of a phenomenon. Here we look at Public Administration (PA).

The first question is: What is Public Administration (epistemology)? Public Administration is the study of government that uses bureaucracy as its tool of operation. Bureaucracy is based on laws and regulations (Max Weber) and the bureaucrats follow these laws. The goal of government is to serve the public (public service based on public interest) where everybody is equal under the law. The aspect of good governance is important. These laws are decided upon by the political system that uses democracy as its guiding principle or tool of operation. PA works always in the tandem democracy-bureaucracy, where democracy takes the lead and bureaucracy follows. Changes always take place in this form.

In which form do we find bureaucracy and its properties (metaphysics)? Two main properties of bureaucracy are governing based on the law and the public interest. Bureaucratic systems are quite complex and are guided by systems dynamic laws: the general system theory (a system consist of different internal subsystems and external systems) and it is autopoietic (the system adheres mainly to its internal working). The external system here is the political system, but apart from that it doesn't answer to other external systems. Apart from the national and local government, we find bureaucracies in international organizations such as the UN and NGO's and because of their growing complexities, business organizations/forms can become bureaucratic too and object of study for PA.

In its methodological approach Public Administration is a multi- and interdisciplinary science. That means it uses knowledge from different disciplines (e.g. economy, law, sociology, psychology, technology) as its approach to solve problems. And because it is based on objective laws and regulations and the service to the public, it is more an empirical based science comparable to medicine. Theory building is different, there is a struggle whether to apply more inductive or deductive methods or verification than falsification. It is a young study and it is wresting with its paradigms.

What is the beauty of PA (aesthetics) and what is it good for (ethics)? In the public discussion, government is often seen in a pejorative way (negative): e.g. waste of resources, big government, slow decision making, corruption, spying on it own citizens. And at the positive side, except from the aspect of good governance, government is also considered good (Paul du Gay: In Praise of Bureaucracy, 2002). According to Adam Smith government has to promote happiness of the public as its sole use and ends (good government). Governmental organizations comply to the public will through the principles of democracy used by the political system. And there are certain duties only government has the power to execute. These beautiful and positive aspects of government objects of study of PA.

I mainly use the complexity of the bureaucratic system to make analysis and tend to look things interdisciplinary from a helicopter view.

Two books on the philosophy of PA:

Edoardo Engaro (2017). Philosophy and Public Administration. Massachusetts: Elger Publishing.

JSH Gildenhuys (2004). Philosophy of Public Administration. Stellenbosch: Sun Press.

The rapid advancement of artificial intelligence, particularly in the realm of large language models (LLMs), has spurred the development of autonomous AI agents capable of interacting with and influencing their surrounding environments [1]. These agents hold the potential to revolutionize everyday tasks, from automating mundane activities to enabling complex problem-solving [10]. However, realizing this potential requires a deep understanding of their capabilities, limitations, and the ethical considerations surrounding their deployment [14]. This review provides a comprehensive overview of the progress in developing and evaluating autonomous AI agents, focusing on their efficiency in various applications. We explore the architectures, benchmarks, and challenges associated with building and governing these agents, and conclude with a discussion of future directions.

The architecture of an AI agent significantly influences its ability to perform tasks autonomously. Several frameworks have been developed to facilitate the creation and deployment of these agents, each offering different strengths and addressing specific challenges [10].

One prominent approach involves the use of LLMs as the core of the agent [1, 3, 5]. These models provide the agent with the ability to understand natural language, reason, and generate responses, enabling them to interact with the world through text-based interfaces [4, 10]. TheAgentCompany benchmark, for example, evaluates LLM agents in a simulated software company environment, where they must browse the web, write code, and communicate with colleagues to complete tasks [1]. Similarly, ComfyBench assesses agents' capabilities in designing collaborative AI systems within the ComfyUI environment [3]. The role-playing framework presented in [4] demonstrates how agents can cooperate with each other, and the AILA framework automates atomic force microscopy experiments through LLM-driven agents [5]. The framework in [9] uses Dual Process Theory (DPT) to create a language agent that can collaborate with humans in real-time.

Beyond LLM-centric approaches, other architectures leverage reinforcement learning (RL) to enable agents to learn from their interactions with the environment [8, 12]. These agents are trained to maximize a reward signal, allowing them to discover optimal strategies for task completion [8]. The paper [12] proposes a framework that allows agents to autonomously discover rules and incorporate them into their decision making process, making the agents more adaptable and efficient.

Some frameworks focus on enabling agents to collaborate with humans, either to improve the efficacy of the agent or to ensure that the agent and human can work together [9, 11, 13]. ChatCollab, for example, allows human and AI agents to work together as peers in a team setting, enabling them to autonomously engage in tasks and communication [11].

Rigorous benchmarking is crucial to assess the performance of AI agents and identify areas for improvement [5, 7]. Several benchmarks have been developed to evaluate agents across various tasks, ranging from simple automation to complex problem-solving [1, 3, 7].

TheAgentCompany provides a realistic setting for evaluating AI agents in a professional context [1]. AIOPSLAB offers a holistic framework for evaluating AI agents in cloud environments, simulating real-world operational tasks [7]. AFMBench challenges AI agents to perform tasks spanning the scientific workflow, from experimental design to results analysis [5]. These benchmarks provide valuable insights into the capabilities and limitations of current AI agents [5, 7].

The evaluation of AI agents extends beyond simple task completion rates. Researchers are also increasingly focused on assessing the efficiency of agents, considering factors such as resource consumption, computational cost, and the ability to adapt to changing environments [15]. Efficient open-world reinforcement learning is explored in [12], where agents are able to adapt to novel situations faster.

The potential applications of autonomous AI agents are vast, spanning numerous domains and industries. These agents can be used to automate a wide range of tasks, from simple data entry to complex decision-making processes [1, 10].

In the context of professional tasks, AI agents can assist in software development, data analysis, and project management [1, 11]. AutoAgent, for example, enables users to create and deploy LLM agents through natural language alone, opening up the possibility for anyone to build their own agents [10]. In the field of scientific research, AI agents can automate experiments, analyze data, and generate hypotheses [5]. AILA, an AI agent for autonomous microscopy experiments, demonstrates the potential of AI agents to accelerate scientific discovery [5].

In industrial settings, AI agents can be used for process optimization, fault detection, and predictive maintenance [8]. The survey in [6] reviews the role of foundation models in robotics, which can be used for autonomous manipulation.

Despite the significant progress in AI agent development, several challenges and limitations remain [5, 14].

One of the primary challenges is the ability of agents to handle complex, long-horizon tasks that require planning, reasoning, and adaptation [1]. Current LLM-based agents often struggle with these tasks, especially when faced with unexpected events or incomplete information [1, 5]. The study in [5] found that even state-of-the-art language models struggle with basic tasks, such as documentation retrieval, which leads to a significant decline in performance in multi-agent coordination scenarios.

Another challenge is the need for robust and reliable agent governance [2, 14]. As AI agents become more autonomous and integrated into critical systems, it is essential to ensure that they operate ethically, safely, and in accordance with human values [2, 14]. The paper [2] proposes a research agenda to address the question of agent-to-agent trust using AgentBound Tokens to incentivize ethical behavior.

The issue of human-AI collaboration presents an additional challenge [9, 13]. While AI agents can perform many tasks autonomously, it is often beneficial to integrate them into human-led workflows [9, 11, 13]. This requires designing agents that can effectively communicate with humans, understand their intentions, and adapt to their preferences [9, 13]. The paper [13] discusses how the AI agent can use mental models to either conform to human expectations or change expectations through explanatory communication.

Furthermore, resource efficiency is a critical consideration, especially for deploying AI agents on embedded systems and in resource-constrained environments [15]. The paper [15] provides an overview of the current state of the art of machine learning techniques facilitating these real-world requirements.

The increasing use of autonomous AI agents raises important ethical and societal considerations [14]. There are concerns about job displacement, algorithmic bias, and the potential for misuse of AI agents [14]. Responsible development and deployment of AI agents requires careful consideration of these issues.

One critical aspect is the need for transparency and explainability [13]. Humans need to understand how AI agents make decisions and why they behave in certain ways [13]. This is particularly important in high-stakes situations where the agent's actions can have significant consequences [14]. The paper [14] argues that humans are responsible for AI Agents' actions, and provides a guide for how humans can build and maintain responsible AI Agents.

Another important consideration is the need to address algorithmic bias [14]. AI agents are trained on data, and if that data reflects existing biases in society, the agents may perpetuate or even amplify those biases [14]. It is essential to carefully curate training data and develop techniques to mitigate bias in AI systems [14].

The field of autonomous AI agents is rapidly evolving, and several promising research directions are emerging. One key area is the development of more sophisticated agent architectures that can handle complex, real-world tasks [1, 3]. This includes exploring new approaches to planning, reasoning, and learning, as well as developing more robust methods for handling uncertainty and unexpected events [1, 3].

Another important direction is the development of more effective methods for human-AI collaboration [9, 11, 13]. This includes designing agents that can seamlessly integrate into human workflows, understand human intentions, and communicate effectively [9, 11, 13].

The development of agent governance and safety mechanisms is also crucial [2, 14]. This includes developing methods for ensuring that agents operate ethically, safely, and in accordance with human values [2, 14].

Finally, research into resource-efficient AI agents is essential for enabling their deployment on a wider range of devices and in a broader set of applications [15].

In conclusion, autonomous AI agents hold tremendous promise for transforming everyday tasks and driving innovation across various domains. However, realizing this potential requires addressing the challenges associated with agent architecture, benchmarking, governance, and human-AI collaboration. By focusing on these areas, researchers can pave the way for the responsible and effective deployment of AI agents, leading to a future where these agents seamlessly integrate into our lives and contribute to human progress.

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Call for Speaker & referees

The Papaloapan University will be host of the Biotechnology Summit 2018, to be held from 22 to 23 November 2018 in Cd Tuxtepec Oaxaca, México. Researchers, professors and experts in the topics listed below are welcome to serve as referees to review abstracts and conference papers. Persons interested in serving as referees must agree to send their comments and suggestions only in English language within a maximum of 3 days and preferably have a PhD degree, or MSc with ample experience in research.

Conference topic areas: (Number, color, area)

I.- Red: Human Health & disease, Medical, Diagnostics and tissue engineering

II.- Yellow: Nutritional biotechnology:food, nutrition science and Nutraceuticals

III.- Blue: Marine (aquatic) biotechnology: aquaculture, coasts and sea, fish health and nutrition, aquatic animals reproduction, cloning and genetic modifications, aquaculture and fisheries pests and disease control

IV.- Green: Agricultural biotechnology: biotechnologies for theproduction, processing, and storage of agricultural and livestock production, biofertilizers and agrobiochemicals, agricultural pests and disease control, ecology and rational wildlife management, preservation of biodiversity, plant, pets and farm-animal disease, health, nutrition, reproduction, cloning, and genetic modification, plant micropropagation and plant tissue culture, bioremediation &environmental biotechnology, sustainable design; Renewable energy generation: bio-fuel production and sustainable biotechnology development, biotechnology for competitive production, new materials and new energy sources.

V.- Brown; Desert biotechnology: Space and geomicrobiology, arid zone & desert biotechnology

VI.- Black; Bioterrorism: Human and animal pathogen control, bioterrorism, biowarfare, biocrimes, anticrop warfare

VII.- Purple; Patents, IPR:strategy for intellectual property protection, patents, publications, inventions

VIII.- White; Industrial biotechnology (gene-based)

IX.- Gold: Bioinformatics, nanobiotechnology, microelectronic and microelectromechanical systems (MEMS), micro systems technology (MST), nanoelectro mechanical systems (NEMS),micromachines

X.- Grey: Classical biotechnology (fermentation): Industrial biotechnology: classical fermentation &bioprocess/bioengineering technology; engineering and technological equipment for bioproduction; output of science-intensive bioproducts.

XI.- Transparent: Bioethics, biotechnology and society:tools for assessment of the support to the scientific sector, including its biotechnological potential and human resources.

XII.- Iris. Multidisciplinary areas:biochemistry, molecular biology &biotechnology, applications based on omics

XIII.- Indigo: Integrating science, education and manufacturing, education &early childhood stimulation in the culture of health, nutrition, sport, art, science, biotechnology &society as information and telecommunication technologies TIC´S

XIV.- Platinum: Synthetic biology

XV.- Silver: Biobusiness, Bioentrepreneurship& Marketing; Development Economics, Biobusiness And Marketing: strategy for innovative development of the national economy, improvement of the system of the S & T and innovation activities management

If you are interested in serving as a referee, please send an email to Dra. Susana Lozano Muñiz, scientific coordinator of UNPA <biotechnologysummit2018@gmail.com> indicating in the subject of the message “Reviewer”. Please indicate your Name, Institutional Affiliation, Postal Address, Telephone, Fax, Email, CV (free format) and a letter expressing your intention to be a referee. In addition, interested speakers should contact indicating in the subject of the message “Speaker proposal”. Please provide the name of the proposed conference, area, color, CV and a letter expressing your intention to be a speaker. Selected speakers must assist to the meeting with their own resources

Regards,

Susana Lozano

Cell phone WhatsApp +52 2871288936

<http://www.bio.edu.mx/>

<http://twitter.com/InterFound4BioT>

<https://instagram.com/biotechnologyresearch>

<https://www.facebook.com/events/1949896865326449/>

President of international biotechnology foundation

Founder of International Biotechnology Color Journal