Complex Systems and Cognitive Processes

Complex Systems and Cognitive Processes by Roberto Serra, Gianni Zanarini.

This volume describes our intellectual path from the physics of complex sys­ tems to the science of artificial cognitive systems. It was exciting to discover that many of the concepts and methods which succeed in describing the self­ organizing phenomena of the physical world are relevant also for u...

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Bibliographic Details
Main Authors: Serra, Roberto (Author), Zanarini, Gianni (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1990.
Edition:1st ed. 1990.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Microprocessors.
Computers.
System theory.
Calculus of variations.
Biomathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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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