Connectionist Models of Learning, Development and Evolution
Author: Robert M French
Publisher:
Published: 2001-04-20
Total Pages: 342
ISBN-13: 9781447102823
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Connectionist Models of Learning, Development and Evolution
Author: Robert M. French
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 327
ISBN-13: 1447102819
DOWNLOAD EBOOK →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.
Connectionist Models of Behaviour and Cognition II
Author: Julien Mayor
Publisher: World Scientific
Published: 2009
Total Pages: 427
ISBN-13: 9812834222
DOWNLOAD EBOOK →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.
Connectionist Models of Behaviour and Cognition II
Connectionist Models of Cognition and Perception
Author: John Andrew Bullinaria
Publisher: World Scientific
Published: 2002
Total Pages: 316
ISBN-13: 981238037X
DOWNLOAD EBOOK →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.
Connectionist Models of Cognition and Perception
Author: John A Bullinaria
Publisher: World Scientific
Published: 2002-05-30
Total Pages: 316
ISBN-13: 9814488348
DOWNLOAD EBOOK →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
Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society
Author: Johanna D. Moore
Publisher: Psychology Press
Published: 2001
Total Pages: 1204
ISBN-13: 9780805841527
DOWNLOAD EBOOK →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
Advances in Artificial Life
Author: Fernando Almeida e Costa
Publisher: Springer
Published: 2007-09-04
Total Pages: 1218
ISBN-13: 3540749136
DOWNLOAD EBOOK →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.
The Cambridge Handbook of Computational Psychology
Author: Ron Sun
Publisher: Cambridge University Press
Published: 2008-04-28
Total Pages: 767
ISBN-13: 0521674107
DOWNLOAD EBOOK →A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Knowledge Incorporation in Evolutionary Computation
Author: Yaochu Jin
Publisher: Springer
Published: 2013-04-22
Total Pages: 543
ISBN-13: 3540445110
DOWNLOAD EBOOK →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.
