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Complex Systems and Cognitive Processes

  • Book
  • © 1990

Overview

Authors:
  1. Roberto Serra

    1. DIDAEL, Milano, Italy

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    You can also search for this author in PubMed   Google Scholar

  2. Gianni Zanarini

    1. Physics Department, Bologna University, Bologna, Italy

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-X
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  2. Introductory Concepts

    • Roberto Serra, Gianni Zanarini
    Pages 1-9

  3. The Dynamical Systems Approach to Artificial Intelligence

    • Roberto Serra, Gianni Zanarini
    Pages 11-32

  4. Dynamical Behaviour of Complex Systems

    • Roberto Serra, Gianni Zanarini
    Pages 33-71

  5. Homogeneous Neural Networks

    • Roberto Serra, Gianni Zanarini
    Pages 73-105

  6. Network Structure and Network Learning

    • Roberto Serra, Gianni Zanarini
    Pages 107-138

  7. Dynamical Rule Based Systems

    • Roberto Serra, Gianni Zanarini
    Pages 139-173

  8. Problems and Prospects

    • Roberto Serra, Gianni Zanarini
    Pages 175-193

  9. Back Matter

    Pages 195-205
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Keywords

About this book

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 understand­ ing cognitive processes. Several nonlinear physicists have felt the fascination of such discovery in recent years. In this volume, we will limit our discussion to artificial cognitive systems, without attempting to model either the cognitive behaviour or the nervous structure of humans or animals. On the one hand, such artificial systems are important per se; on the other hand, it can be expected that their study will shed light on some general principles which are relevant also to biological cognitive systems. The main purpose of this volume is to show that nonlinear dynamical systems have several properties which make them particularly attractive for reaching some of the goals of artificial intelligence. The enthusiasm which was mentioned above must however be qualified by a critical consideration of the limitations of the dynamical systems approach. Understanding cognitive processes is a tremendous scientific challenge, and the achievements reached so far allow no single method to claim that it is the only valid one. In particular, the approach based upon nonlinear dynamical systems, which is our main topic, is still in an early stage of development.

Authors and Affiliations

  • DIDAEL, Milano, Italy

    Roberto Serra

  • Physics Department, Bologna University, Bologna, Italy

    Gianni Zanarini

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