Complex Systems and Cognitive Processes

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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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.

• Dynamische Systeme
• Lernen in Neuronalen Netzen
• Neue Architekturen in der KI
• Neuronale Netze
• Theorien der Komplexen Systeme
• algorithms
• artificial intelligence
• automata
• behavior
• cognition
• complex system
• complex systems
• dynamical systems
• dynamics
• genetic algorithms
• intelligence
• knowledge representation
• learning
• neural networks
• supervised learning

• DIDAEL, Milano, Italy

  Roberto Serra

• Physics Department, Bologna University, Bologna, Italy

  Gianni Zanarini

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