Optimality In Biological And Artificial Networks
DOWNLOAD
Download Optimality In Biological And Artificial Networks PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Optimality In Biological And Artificial Networks book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Optimality In Biological And Artificial Networks
DOWNLOAD
Author : Daniel S. Levine
language : en
Publisher: Psychology Press
Release Date : 2013-06-17
Optimality In Biological And Artificial Networks written by Daniel S. Levine and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Psychology categories.
This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, is it true that actual behavior and cognitive functions of living animals, including humans, can be considered as optimal in some sense? Second, what is the utility function for biological organisms, if any, and can it be described mathematically? Rather than organize the chapters on a "biological versus artificial" basis or by what stance they took on optimality, it seemed more natural to organize them either by what level of questions they posed or by what intelligent functions they dealt with. The book begins with some general frameworks for discussing optimality, or the lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that help to clarify what the notion of optimality might entail in specific classes of networks. The final section deals with optimality in the context of many different high-level issues, including exploring one's environment, understanding mental illness, linguistic communication, and social organization. The diversity of topics covered in this book is designed to stimulate interdisciplinary thinking and speculation about deep problems in intelligent system organization.
Optimality In Biological And Artificial Networks
DOWNLOAD
Author : Daniel S. Levine
language : en
Publisher: Psychology Press
Release Date : 2013-06-17
Optimality In Biological And Artificial Networks written by Daniel S. Levine and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Psychology categories.
This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, is it true that actual behavior and cognitive functions of living animals, including humans, can be considered as optimal in some sense? Second, what is the utility function for biological organisms, if any, and can it be described mathematically? Rather than organize the chapters on a "biological versus artificial" basis or by what stance they took on optimality, it seemed more natural to organize them either by what level of questions they posed or by what intelligent functions they dealt with. The book begins with some general frameworks for discussing optimality, or the lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that help to clarify what the notion of optimality might entail in specific classes of networks. The final section deals with optimality in the context of many different high-level issues, including exploring one's environment, understanding mental illness, linguistic communication, and social organization. The diversity of topics covered in this book is designed to stimulate interdisciplinary thinking and speculation about deep problems in intelligent system organization.
Optimality In Biological And Artificial Networks
DOWNLOAD
Author : Daniel Levine
language : en
Publisher:
Release Date : 2013
Optimality In Biological And Artificial Networks written by Daniel Levine and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, is it true that actual behavior and cognitive functions of living animals, including humans, can be considered as optimal in some sense? Second, what is the utility function for biological organisms, if any, and can it be described mathematically? Rather than organize the chapters on a "biological versus artificial" basis or by what stance they took on optimality, it seemed more natural to organize them either by what level of questions they posed or by what intelligent functions they dealt with. The book begins with some general frameworks for discussing optimality, or the lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that help to clarify what the notion of optimality might entail in specific classes of networks. The final section deals with optimality in the context of many different high-level issues, including exploring one's environment, understanding mental illness, linguistic communication, and social organization. The diversity of topics covered in this book is designed to stimulate interdisciplinary thinking and speculation about deep problems in intelligent system organization.
Introduction To Neural And Cognitive Modeling
DOWNLOAD
Author : Daniel S. Levine
language : en
Publisher: Psychology Press
Release Date : 2000-02
Introduction To Neural And Cognitive Modeling written by Daniel S. Levine and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02 with Psychology categories.
This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/
Advanced Optimal Control And Applications Involving Critic Intelligence
DOWNLOAD
Author : Ding Wang
language : en
Publisher: Springer Nature
Release Date : 2023-01-21
Advanced Optimal Control And Applications Involving Critic Intelligence written by Ding Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-21 with Technology & Engineering categories.
This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.
Deterministic Artificial Intelligence
DOWNLOAD
Author : Timothy Sands
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-05-27
Deterministic Artificial Intelligence written by Timothy Sands and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Computers categories.
Kirchhoff’s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton’s laws, while rotational motion mechanics comply with Euler’s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler’s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.
Biological Cybernetics Research Trends
DOWNLOAD
Author : Thomas O. Williams
language : en
Publisher: Nova Publishers
Release Date : 2007
Biological Cybernetics Research Trends written by Thomas O. Williams and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Biological cybernetics includes experimental, theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: experimental studies of biological systems including quantitative modelling; computational, technical, or theoretical studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organising principles. This book presents important research from around the world in this field.
Optimal Spending On Cybersecurity Measures
DOWNLOAD
Author : Tara Kissoon
language : en
Publisher: CRC Press
Release Date : 2025-05-23
Optimal Spending On Cybersecurity Measures written by Tara Kissoon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
The aim of this book is to demonstrate the use of business‐driven risk assessments to address government regulations and guidelines specific to AI risks, as AI systems often require access to personal data. All aspects of AI, machine learning models, continuous learning, generalization, and predictive and descriptive analytics are dependent on massive datasets. The more diverse and comprehensive the data, the better an AI can perform. Therefore, AI systems require vast amounts of personal data, and should this data be accessed by unauthorized individuals or organizations, it will lead to a privacy breach, which may result in personal harm to citizens, i.e., identity theft. This book introduces the cyber risk investment model and the cybersecurity risk management framework used within business‐driven risk assessments to address government regulations, industry standards, and applicable laws. It can be used by various stakeholders who are involved in the implementation of cybersecurity measures to safeguard sensitive data. This framework facilitates an organization’s risk management decision‐making process to demonstrate the mechanisms in place to fund cybersecurity measures and demonstrates the application of the process by showcasing two case studies. Features: Aims to strengthen the reader’s understanding of industry governance, AI risk, and compliance practices. Incorporates an innovative approach to assess business risk management specific to AI systems. Explores the strategic decisions made by organizations when implementing cybersecurity measures and leverages an integrated approach to include risk management elements.
System And Circuit Design For Biologically Inspired Intelligent Learning
DOWNLOAD
Author : Temel, Turgay
language : en
Publisher: IGI Global
Release Date : 2010-10-31
System And Circuit Design For Biologically Inspired Intelligent Learning written by Temel, Turgay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Medical categories.
"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.
Optimal Variability For Effective Motor Learning
DOWNLOAD
Author : Jürgen Birklbauer
language : en
Publisher: Meyer & Meyer
Release Date : 2019-01-21
Optimal Variability For Effective Motor Learning written by Jürgen Birklbauer and has been published by Meyer & Meyer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-21 with Sports & Recreation categories.
This thesis addresses different manifestations and practical implementations of movement variability in respect to their beneficial effects on movement coordination and learning. The focal point of this topic is formed by the comparison between the contextual interference paradigm and the differential learning approach, representing two variable practice strategies found to improve motor learning performance under certain conditions. The theoretical backgrounds and empirical findings of each approach are thoroughly reviewed in the first part of this work. These theoretical concepts, and their resultant practical training approaches, arrive at the notion of an optimal magnitude and structure of movement variability that should be encouraged during practice. The second part of this work presents a parallelgroup study designed to contrast the effects of a high contextual interference and schema-based practice regime with two variants of differential training on the adoption of two indoor hockey skills in beginners.