Prerational Intelligence: Adaptive Behavior and Intelligent Systems without Symbols and Logic: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems Vol 2
Published on 1. December 2000
Book
Hardback
978-0-7923-6670-6 (ISBN)
Description
The focus of this text is on the way animals and artificial systems utilize information about their surroundings in order to behave intelligently; the premise is that logic and symbolic reasoning are neither necessary nor, possibly, sufficient. Experts in the fields of biology, psychology, robotics, AI, mathematics, engineering, computer science, and philosophy review the evidence that intelligent behaviour can arise in systems of simple agents interacting according to simple rules; that self-organization and interaction with the environment are critical; and that quick approximations may replace logical analyses. It is argued that a better understanding of the intelligence inherent in procedure like those illustrated will eventually shed light on how rational intelligence is realized in humans.
More details
Series
Language
English
Place of publication
United States
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
ISBN-13
978-0-7923-6670-6 (9780792366706)
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Schweitzer Classification
Persons
Content
Part VI: Introduction to Volume 2, H. Ritter, et al. Part VII Organization and Architectures: Introduction to Part VII, H. Ritter, et al; Representation of Space and Time in Motor Control, P. Morasso, V. Sanguineti; A Schema-Theory Approach to Specifying and Analyzing the Behaviour of Robot Systems, D.M. Lyons; Where Neural Nets Make Sense in Robotics, G. Schweitzer, Jianyong Wen; A Bi-Directional Theory Approach to Prerational Intelligence, M. Kawato; MMC - A Holistic System for a Nonsymbolic Internal Body Representation, U. Steink hler, et al; Locomotion in Machines - Approaches to Co-ordination in Machines Past and Present, O.E. Holland; Constructing Modular Architectures With Boltzmann Machines, H.J. Kappen; Modularization by Cascading Neural Networks, E. Littmann, H. Ritter; Learning About Aggression, J.R.P. Halperin; Pleasure, the Prerational Intelligence, M. Cabanac. Part VIII Theoretical Approaches: (Part contents).