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Author : Robert M French
Publisher :
ISBN 13 : 9781447102823
Total Pages : 342 pages
Book Rating : 4.1/5 (28 download)
Download or read book Connectionist Models of Learning, Development and Evolution written by Robert M French and published by . This book was released on 2001-04-20 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert M. French
Publisher : Springer Science & Business Media
ISBN 13 : 1447102819
Total Pages : 327 pages
Book Rating : 4.4/5 (471 download)
Download or read book Connectionist Models of Learning, Development and Evolution written by Robert M. French and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena. With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections: The neural basis of cognition Development and category learning Implicit learning Social cognition Evolution Semantics Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.
Author : Julien Mayor
Publisher : World Scientific
ISBN 13 : 9812834222
Total Pages : 427 pages
Book Rating : 4.8/5 (128 download)
Download or read book Connectionist Models of Behaviour and Cognition II written by Julien Mayor and published by World Scientific. This book was released on 2009 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The neural computational approach to cognitive and psychological processes is relatively new. However, Neural Computation and Psychology Workshops (NCPW), first held 16 years ago, lie at the heart of this fast-moving discipline, thanks to its interdisciplinary nature ? bringing together researchers from different disciplines such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on models of cognitive processes.Once again, the Eleventh Neural Computation and Psychology Workshop (NCPW11), held in 2008 at the University of Oxford (England), reflects the interdisciplinary nature and wide range of backgrounds of this field. This volume is a collection of peer-reviewed contributions of most of the papers presented at NCPW11 by researchers from four continents and 15 countries.
Author :
Publisher :
ISBN 13 : 9814470058
Total Pages : pages
Book Rating : 4.8/5 (144 download)
Download or read book Connectionist Models of Behaviour and Cognition II written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Andrew Bullinaria
Publisher : World Scientific
ISBN 13 : 981238037X
Total Pages : 316 pages
Book Rating : 4.8/5 (123 download)
Download or read book Connectionist Models of Cognition and Perception written by John Andrew Bullinaria and published by World Scientific. This book was released on 2002 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural Computation and Psychology Workshop (NCPW7). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on connectionist modelling in psychology.The articles have the main theme of connectionist modelling of cognition and perception, and are organised into six sections, on: cell assemblies, representation, memory, perception, vision and language. This book is an invaluable resource for researchers interested in neural models of psychological phenomena.
Author : John A Bullinaria
Publisher : World Scientific
ISBN 13 : 9814488348
Total Pages : 316 pages
Book Rating : 4.8/5 (144 download)
Download or read book Connectionist Models of Cognition and Perception written by John A Bullinaria and published by World Scientific. This book was released on 2002-05-30 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural Computation and Psychology Workshop (NCPW7). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on connectionist modelling in psychology. The articles have the main theme of connectionist modelling of cognition and perception, and are organised into six sections, on: cell assemblies, representation, memory, perception, vision and language. This book is an invaluable resource for researchers interested in neural models of psychological phenomena. Contents:Cell Assemblies:Describing Low Level Psychological Phenomena Through Cell Assemblies (C R Huyck)The Implications of Binding for Models of Cognitive Brain Function (P H de Vries & G J Dalenoort)Representation:The Role of Perception and Action in Object Categorisation (A Borghi et al.)Perception Orientated Representation in Problem Solving (A Wichert)Memory:Habituation During Encoding of Episodic Memory (S Sikström)Short Term Memory in a Network of Spiking Neurons (J Sougné)Vision:Efficient Processing in the Retina (B T Vincent)Implementation of Visual Routines (G J van Tonder & Y Ejima)Perception:Natural Scene Perception: Visual Attractors and Images Processing (A Chauvin et al.)Ebbinghaus Illusion: Questioning the Role of Conceptual Similarity (S M Lambert & A E Azzi)Language:Integrating Perception and Production in a Neural Network Model (G Westermann & E R Miranda)The Influence of Semantics in Lexical Selection in Speech (R A I Davies)and other papers Readership: Graduate students, academics and researchers in neural computation and psychology. Keywords:Connectionist;Neural;Network;Computation;Models;Psychology;Perception;Cognition;Memory;Vision;Language
Author : Ron Sun
Publisher : Cambridge University Press
ISBN 13 : 0521674107
Total Pages : 767 pages
Book Rating : 4.5/5 (216 download)
Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Author : Johanna D. Moore
Publisher : Psychology Press
ISBN 13 : 9780805841527
Total Pages : 1204 pages
Book Rating : 4.8/5 (415 download)
Download or read book Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society written by Johanna D. Moore and published by Psychology Press. This book was released on 2001 with total page 1204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vol. includes all papers and posters presented at 2001 Cog Sci Mtg & summaries of symposia & invited addresses. Deals w/ issues of repres & model'g cog processes. Appeals to scholars in subdisciplines that comprise Cog Sci: Psych, Computr Sci, Neuro, Lin
Author : Fernando Almeida e Costa
Publisher : Springer
ISBN 13 : 3540749136
Total Pages : 1218 pages
Book Rating : 4.5/5 (47 download)
Download or read book Advances in Artificial Life written by Fernando Almeida e Costa and published by Springer. This book was released on 2007-09-04 with total page 1218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th European Conference on Artificial Life, ECAL 2007, held in Lisbon, Portugal. The 125 revised full papers cover morphogenesis and development, robotics and autonomous agents, evolutionary computation and theory, cellular automata, models of biological systems and their applications, ant colony and swarm systems, evolution of communication, simulation of social interactions, self-replication, artificial chemistry.
Author : Yaochu Jin
Publisher : Springer
ISBN 13 : 3540445110
Total Pages : 543 pages
Book Rating : 4.5/5 (44 download)
Download or read book Knowledge Incorporation in Evolutionary Computation written by Yaochu Jin and published by Springer. This book was released on 2013-04-22 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.
Author : Steven J. Scher
Publisher : Springer Science & Business Media
ISBN 13 : 9781402072796
Total Pages : 294 pages
Book Rating : 4.0/5 (727 download)
Download or read book Evolutionary Psychology written by Steven J. Scher and published by Springer Science & Business Media. This book was released on 2003 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary psychology has been dominated by one particular method for studying the mind and behavior. This is the first book to both question that monopoly and suggest a broad range of particular alternatives. Psychologists, philosophers, biologists, anthropologists, and others offer different methods for combining psychology and evolution. They recommend specific changes to evolutionary psychology using a wide variety of theoretical assumptions. In addition, some essays analyze the underpinnings of the dominant method, relate it to the context of evolutionary and psychological theory and to general philosophy of science, and discuss how to test approaches to evolutionary psychology. The aim of this collection is not to reject evolutionary psychology but to open up new vistas which students and researchers can use to ensure that evolutionary psychology continues to thrive.
Author : Philip T. Quinlan
Publisher : Taylor & Francis
ISBN 13 : 9781841692685
Total Pages : 386 pages
Book Rating : 4.6/5 (926 download)
Download or read book Connectionist Models of Development written by Philip T. Quinlan and published by Taylor & Francis. This book was released on 2003 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems is typically characterised as adaptive changes to the strengths of these connections. The traditional accounts of connectionist learning, based on adaptive changes to weighted connections, are explored alongside the dynamic accounts in which networks generate their own structures as learning proceeds. Unlike most connectionist accounts of psychological processes which deal with the fully-mature system, this text brings to the fore a discussion of developmental processes. To investigate human cognitive and perceptual development, connectionist models of learning and representation are adopted alongside various aspects of language and knowledge acquisition. There are sections on artificial intelligence and how computer programs have been designed to mimic the development processes, as well as chapters which describe what is currently known about how real brains develop. This book is a much-needed addition to the existing literature on connectionist development as it includes up-to-date examples of research on current controversies in the field as well as new features such as genetic connectionism and biological theories of the brain. It will be invaluable to academic researchers, post-graduates and undergraduates in developmental psychology and those researching connectionist/neural networks as well as those in related fields such as psycholinguistics.
Author : Colin R. Tosh
Publisher : Cambridge University Press
ISBN 13 : 9781139489058
Total Pages : pages
Book Rating : 4.4/5 (89 download)
Download or read book Modelling Perception with Artificial Neural Networks written by Colin R. Tosh and published by Cambridge University Press. This book was released on 2010-06-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identifying potential research areas for specialists.
Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 3642296947
Total Pages : 796 pages
Book Rating : 4.6/5 (422 download)
Download or read book Artificial Intelligence, Evolutionary Computing and Metaheuristics written by Xin-She Yang and published by Springer. This book was released on 2012-07-27 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.
Author : Werner Callebaut
Publisher : MIT Press
ISBN 13 : 9780262033268
Total Pages : 480 pages
Book Rating : 4.0/5 (332 download)
Download or read book Modularity written by Werner Callebaut and published by MIT Press. This book was released on 2005 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modularity—the attempt to understand systems as integrations of partially independent and interacting units—is today a dominant theme in the life sciences, cognitive science, and computer science. The concept goes back at least implicitly to the Scientific (or Copernican) Revolution, and can be found behind later theories of phrenology, physiology, and genetics; moreover, art, engineering, and mathematics rely on modular design principles. This collection broadens the scientific discussion of modularity by bringing together experts from a variety of disciplines, including artificial life, cognitive science, economics, evolutionary computation, developmental and evolutionary biology, linguistics, mathematics, morphology, paleontology, physics, theoretical chemistry, philosophy, and the arts. The contributors debate and compare the uses of modularity, discussing the different disciplinary contexts of "modular thinking" in general (including hierarchical organization, near-decomposability, quasi-independence, and recursion) or of more specialized concepts (including character complex, gene family, encapsulation, and mosaic evolution); what modules are, why and how they develop and evolve, and the implication for the research agenda in the disciplines involved; and how to bring about useful cross-disciplinary knowledge transfer on the topic. The book includes a foreword by the late Herbert A. Simon addressing the role of near-decomposability in understanding complex systems. Contributors: Lee Altenberg, Lauren W. Ancel-Meyers, Carl Anderson, Robert B. Brandon, Angela D. Buscalioni, Raffaele Calabretta, Werner Callebaut, Anne De Joan, Rafael Delgado-Buscalioni, Gunther J. Eble, Walter Fontana, Fernand Gobet, Alicia de la Iglesia, Slavik V. Jablan, Luigi Marengo, Daniel W. McShea, Jason Mezey, D. Kimbrough Oller, Domenico Parisi, Corrado Pasquali, Diego Rasskin-Gutman, Gerhard Schlosser, Herbert A. Simon, Roger D. K. Thomas, Marco Valente, Boris M. Velichkovsky, Gunter P. Wagner, Rasmus G. Winter Vienna Series in Theoretical Biology
Author : Bill McKelvey
Publisher : Taylor & Francis
ISBN 13 : 1000393739
Total Pages : 287 pages
Book Rating : 4.0/5 (3 download)
Download or read book Management in the Age of Digital Business Complexity written by Bill McKelvey and published by Taylor & Francis. This book was released on 2021-09-07 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Management in the Age of Digital Business Complexity focuses on how the digital age is changing management and vastly speeding up complexity dynamics. The recent coevolution of technologies has dramatically changed in just a few years how people and firms learn, communicate, and behave. Consequently, the process of how firms coevolve and the speed at which they coevolve has been dramatically changed in the digital age, and managerial methods are lagging way behind. Combining his own expertise with that of a number of specialist and international co-authors, McKelvey conveys how companies that fall behind digitally can quickly be driven out of business. The book has been created for academics seeking to upgrade management thinking into the modern digital age and vastly improve the change capabilities of firms facing digital-oriented competition.
Author : Dov M. Gabbay
Publisher : Elsevier
ISBN 13 : 0080460925
Total Pages : 496 pages
Book Rating : 4.0/5 (84 download)
Download or read book A Practical Logic of Cognitive Systems written by Dov M. Gabbay and published by Elsevier. This book was released on 2005-05-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present work is a continuation of the authors' acclaimed multi-volume A Practical Logic of Cognitive Systems. After having investigated the notion of relevance in their previous volume, Gabbay and Woods now turn to abduction. In this highly original approach, abduction is construed as ignorance-preserving inference, in which conjecture plays a pivotal role. Abduction is a response to a cognitive target that cannot be hit on the basis of what the agent currently knows. The abducer selects a hypothesis which were it true would enable the reasoner to attain his target. He concludes from this fact that the hypothesis may be conjectured. In allowing conjecture to stand in for the knowledge he fails to have, the abducer reveals himself to be a satisficer, since an abductive solution is not a solution from knowledge. Key to the authors' analysis is the requirement that a conjectured proposition is not just what a reasoner might allow himself to assume, but a proposition he must defeasibly release as a premiss for further inferences in the domain of enquiry in which the original abduction problem has arisen. The coverage of the book is extensive, from the philosophy of science to computer science and AI, from diagnostics to the law, from historical explanation to linguistic interpretation. One of the volume's strongest contributions is its exploration of the abductive character of criminal trials, with special attention given to the standard of proof beyond a reasonable doubt. Underlying their analysis of abductive reasoning is the authors' conception of practical agency. In this approach, practical agency is dominantly a matter of the comparative modesty of an agent's cognitive agendas, together with comparatively scant resources available for their advancement. Seen in these ways, abduction has a significantly practical character, precisely because it is a form of inference that satisfices rather than maximizes its response to the agent's cognitive target. The Reach of Abduction will be necessary reading for researchers, graduate students and senior undergraduates in logic, computer science, AI, belief dynamics, argumentation theory, cognitive psychology and neuroscience, linguistics, forensic science, legal reasoning and related areas. Key features: - Reach of Abduction is fully integrated with a background logic of cognitive systems. - The most extensive coverage compared to competitive works. - Demonstrates not only that abduction is a form of ignorance preserving inference but that it is a mode of inference that is wholly rational. - Demonstrates the satisficing rather than maximizing character of abduction. - The development of formal models of abduction is considerably more extensive than one finds in existing literature. It is an especially impressive amalgam of sophisticated conceptual analysis and extensive logical modelling. · Reach of Abduction is fully integrated with a background logic of cognitive systems. · The most extensive coverage compared to competitive works · Demonstrates not only that abduction is a form of ignorance preserving inference but that it is a mode of inference that is wholly rational. · Demonstrates the satisficing rather than maximizing character of abduction. · The development of formal models of abduction is considerably more extensive than one finds in existing literature. It is an especially impressive amalgam of sophisticated conceptual analysis and extensive logical modelling.
