Complex Systems and Cognitive Processes

Overview

This book shows that the science of complex systems, which stresses the importance of self-organizing processes, can make a decisive contribution to solving many problems in artificial intelligence. Artificial cognitive systems are important in view of their potential applications, and it can be expected that their study will shed light on biological cognitive systems. The new "neurally inspired" information science proposed in this book is fast becoming a promising workshop for the construction of models capable...

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Overview

This book shows that the science of complex systems, which stresses the importance of self-organizing processes, can make a decisive contribution to solving many problems in artificial intelligence. Artificial cognitive systems are important in view of their potential applications, and it can be expected that their study will shed light on biological cognitive systems. The new "neurally inspired" information science proposed in this book is fast becoming a promising workshop for the construction of models capable of emulating cognitive behaviour. After a general introduction to the theory of complex systems, the book gives a thorough treatment of neural networks, which are the most successful and the most thoroughly studied dynamical cognitive systems. Attention is also devoted to other classes of artificial cognitive systems, in particular to classifier systems, which provide an important link between the dynamical and the inferential approach to artificial intelligence. The book can be used as a textbook, since it does not require previous knowledge of the topic, and should also be interesting for researchers in this field, since it links formerly separate lines of research.

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Editorial Reviews

Booknews
Proposes a neurally inspired approach to information science, in which several properties of complex, nonlinear, dynamic systems are applied to problems in artificial intelligence. Discusses artificial rather than biological cognitive behavior and neural networks. An introduction to the theory, methods, and technology, that does not cover applications. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9783642466809
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 7/31/2012
  • Edition description: Softcover reprint of the original 1st ed. 1990
  • Edition number: 1
  • Pages: 205
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.46 (d)

Table of Contents

1 Introductory Concepts.- 1.1 Complex Systems and Self-organization.- 1.2 Self-organization in Artificial Systems.- 1.3 Cognitive Processes in Artificial Systems.- 1.4 Metaphors of the Cognitive Sciences.- 2 The Dynamical Systems Approach to Artificial Intelligence.- 2.1 Introduction.- 2.2 Dynamical Systems, Attractors and Meaning.- 2.3 Neural Networks.- 2.4 The Relationship with Classical AI.- 3 Dynamical Behaviour of Complex Systems.- 3.1 Introduction.- 3.2 One-Dimensional Dynamical Systems.- 3.3 Two-Dimensional Dynamical Systems.- 3.4 Cellular Automata.- 3.5 The Life Game.- 3.6 Random Boolean Networks.- 3.7 Computation in Reaction-Diffusion Systems.- 4 Homogeneous Neural Networks.- 4.1 Introduction.- 4.2 The Hopfield Model.- 4.3 Modifications of the Hopfield Model.- A4.1 Non-Deterministic Dynamics of the Model.- A4.2 Memorization and Recognition of Two States.- 5 Network Structure and Network Learning.- 5.1 Introduction.- 5.2 Layered Networks.- 5.3 Back-Propagation Algorithms.- 5.4 Self-organization and Feature Extraction.- 5.5 Learning in Probabilistic Networks.- 5.6 Unsupervised Learning.- A5.1 The Learning Algorithm for the Boltzmann Machine.- 6 Dynamical Rule Based Systems.- 6.1 Introduction.- 6.2 Classifier Systems and Genetic Algorithms.- 6.3 The Equations of Classifier Systems.- 6.4 The Dynamics of Classifier Systems.- 6.5 Classifier Systems and Neural Networks.- A6.1 Implicit Parallelism.- 7 Problems and Prospects.- 7.1 Introduction.- 7.2 Knowledge Representation.- 7.3 The Role of Dynamics.- 7.4 On the Limits of the Dynamical Approach.- References.

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