🚀 go-pugleaf

!!! New Book Announcement !!!

=================================================
Neural Networks and a New Artificial Intelligence
=================================================

edited by Georg Dorffner

International Thomson Computer Press, London, 1997
ISBN 1-85032-172-8


About the book:
===============

Since the re-birth of interest in artificial neural networks in the 
mid 1980s, they have become a much-discussed topic, particularly in
terms of their real contribution to the explanation and modelling of
cognition, as part of the field of artificial intelligence (AI). This
edited collection brings together a selection of papers from experts
in their field, outlining the concrete contribution that neural 
computing has made to AI.

"Neural Networks and a New Artificial Intelligence" is a collection of
arguments, examples and critical elaborations from different views on
how
and whether neural networks can not only contribute to a better
artificial 
intelligence, but can also revolutionise it by forming the basis for a
truly
alternative paradigm.


Contents:
=========

Introduction


Part I: General topics - new AI as a whole

New AI: naturalness revealed in the study of artificial intelligence
(by Erich Prem, Vienna)

Representational eclecticism - a foundation stone for the new AI?
(by Chris Thornton, Brighton)


Part II: concrete approaches and research strategies

Towards a connectionist model of action sequences, active vision
and breakdowns
(by Hugues Bersini, Brussels)

Complete autonomous systems: a research strategy for cognitive science
(by Rolf Pfeifer and Paul Verschure, Zurich)

Radical connectionism - a neural bottom-up approach to AI
(by Georg Dorffner, Vienna)

Connectionist explanation: taking position in the mind-brain dilemma
(by Paul Verschure, Zurich)

On growing intelligence
(by Jari Vaario, Kyoto, and Setsuo Ohsuga, Tokyo)


Part III: Issues in modelling high-level cognition

Systematicity and generalization in compositional connectionist
representations
(by Lars Niklasson, Sk"ovde, and Noel Sharkey, Sheffield)

Constructive learning in connectionist semantic networks
(by Joachim Diederich and James Hogan, Brisbane)

A connectionist Model for the interpretation of metaphors
(by Stefan Wermter, Hamburg, and Ruth Hannuschka, Dortmund)

Some issues in neural cognitive modelling
(by Max Garzon, Memphis)



Neural networks and a new AI - questions and answers
(with contributions from all the authors)

Index