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Author : J. E. R. Staddon
Publisher :
ISBN 13 : 9780262201421
Total Pages : 423 pages
Book Rating : 4.29/5 ( download)
Download or read book Adaptive Dynamics written by J. E. R. Staddon and published by . This book was released on 2001 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. E. R. Staddon
Publisher : MIT Press
ISBN 13 : 9780262194532
Total Pages : 444 pages
Book Rating : 4.38/5 ( download)
Download or read book Adaptive Dynamics written by J. E. R. Staddon and published by MIT Press. This book was released on 2001 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book J.E.R. Staddon proposes an explanation of behavior that lies between cognitive psychology, which seeks to explain it in terms of mentalistic constructs, and cognitive neuroscience, which tries to explain it in terms of the brain. Staddon suggests a new way to understand the laws and causes of learning, based on the invention, comparison, testing, and modification or rejection of parsimonious real-time models for behavior. The models are neither physiological nor cognitive: they are behavioristic. Staddon shows how simple dynamic models can explain a surprising variety of animal and human behavior, ranging from simple orientation, reflexes, and habituation through feeding regulation, operant conditioning, spatial navigation, stimulus generalization, and interval timing.
Author : Jiayue Sun
Publisher : Springer Nature
ISBN 13 : 9819959292
Total Pages : 144 pages
Book Rating : 4.97/5 ( download)
Download or read book Adaptive Dynamic Programming written by Jiayue Sun and published by Springer Nature. This book was released on 2023-10-14 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge.
Author : Jing Na
Publisher : Academic Press
ISBN 13 : 0128136847
Total Pages : 336 pages
Book Rating : 4.43/5 ( download)
Download or read book Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics written by Jing Na and published by Academic Press. This book was released on 2018-06-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering. Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics Provides practical application and experimental results for robotic systems, and servo motors
Author : J. A. Scott Kelso
Publisher : MIT Press
ISBN 13 : 9780262611312
Total Pages : 368 pages
Book Rating : 4.17/5 ( download)
Download or read book Dynamic Patterns written by J. A. Scott Kelso and published by MIT Press. This book was released on 1995 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: foreword by Hermann Haken For the past twenty years Scott Kelso's research has focused on extending the physical concepts of self- organization and the mathematical tools of nonlinear dynamics to understand how human beings (and human brains) perceive, intend, learn, control, and coordinate complex behaviors. In this book Kelso proposes a new, general framework within which to connect brain, mind, and behavior.Kelso's prescription for mental life breaks dramatically with the classical computational approach that is still the operative framework for many newer psychological and neurophysiological studies. His core thesis is that the creation and evolution of patterned behavior at all levels--from neurons to mind--is governed by the generic processes of self-organization. Both human brain and behavior are shown to exhibit features of pattern-forming dynamical systems, including multistability, abrupt phase transitions, crises, and intermittency. Dynamic Patterns brings together different aspects of this approach to the study of human behavior, using simple experimental examples and illustrations to convey essential concepts, strategies, and methods, with a minimum of mathematics. Kelso begins with a general account of dynamic pattern formation. He then takes up behavior, focusing initially on identifying pattern-forming instabilities in human sensorimotor coordination. Moving back and forth between theory and experiment, he establishes the notion that the same pattern-forming mechanisms apply regardless of the component parts involved (parts of the body, parts of the nervous system, parts of society) and the medium through which the parts are coupled. Finally, employing the latest techniques to observe spatiotemporal patterns of brain activity, Kelso shows that the human brain is fundamentally a pattern forming dynamical system, poised on the brink of instability. Self-organization thus underlies the cooperative action of neurons that produces human behavior in all its forms.
Author : Niles Eldredge
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.04/5 ( download)
Download or read book Macroevolutionary Dynamics written by Niles Eldredge and published by McGraw-Hill Companies. This book was released on 1989 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wulfram Gerstner
Publisher : Cambridge University Press
ISBN 13 : 1107060834
Total Pages : 591 pages
Book Rating : 4.38/5 ( download)
Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Author : Ulf Dieckmann
Publisher : Cambridge University Press
ISBN 13 : 9781107404182
Total Pages : 488 pages
Book Rating : 4.85/5 ( download)
Download or read book Adaptive Speciation written by Ulf Dieckmann and published by Cambridge University Press. This book was released on 2012-04-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive speciation occurs when biological interactions induce disruptive selection and the evolution of assortative mating, thus triggering the splitting of lineages. Internationally recognized authorities explain exciting developments in modeling speciation, including celebrated examples of rapid speciation by natural selection. The text is geared toward students and researchers in biology, physics, and mathematics.
Author : Masanori Ohya
Publisher : Springer Science & Business Media
ISBN 13 : 9400701713
Total Pages : 768 pages
Book Rating : 4.17/5 ( download)
Download or read book Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems written by Masanori Ohya and published by Springer Science & Business Media. This book was released on 2011-01-15 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a mathematical foundation to the theory of quantum information and computation, with applications to various open systems including nano and bio systems. It includes introductory material on algorithm, functional analysis, probability theory, information theory, quantum mechanics and quantum field theory. Apart from standard material on quantum information like quantum algorithm and teleportation, the authors discuss findings on the theory of entropy in C*-dynamical systems, space-time dependence of quantum entangled states, entangling operators, adaptive dynamics, relativistic quantum information, and a new paradigm for quantum computation beyond the usual quantum Turing machine. Also, some important applications of information theory to genetics and life sciences, as well as recent experimental and theoretical discoveries in quantum photosynthesis are described.
Author : Masanari Asano
Publisher : Springer
ISBN 13 : 9401798192
Total Pages : 185 pages
Book Rating : 4.98/5 ( download)
Download or read book Quantum Adaptivity in Biology: From Genetics to Cognition written by Masanari Asano and published by Springer. This book was released on 2015-04-14 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines information processing performed by bio-systems at all scales: from genomes, cells and proteins to cognitive and even social systems. It introduces a theoretical/conceptual principle based on quantum information and non-Kolmogorov probability theory to explain information processing phenomena in biology as a whole. The book begins with an introduction followed by two chapters devoted to fundamentals, one covering classical and quantum probability, which also contains a brief introduction to quantum formalism, and another on an information approach to molecular biology, genetics and epigenetics. It then goes on to examine adaptive dynamics, including applications to biology, and non-Kolmogorov probability theory. Next, the book discusses the possibility to apply the quantum formalism to model biological evolution, especially at the cellular level: genetic and epigenetic evolutions. It also presents a model of the epigenetic cellular evolution based on the mathematical formalism of open quantum systems. The last two chapters of the book explore foundational problems of quantum mechanics and demonstrate the power of usage of positive operator valued measures (POVMs) in biological science. This book will appeal to a diverse group of readers including experts in biology, cognitive science, decision making, sociology, psychology, and physics; mathematicians working on problems of quantum probability and information and researchers in quantum foundations.
