Covers some of the most significant applications of artificial intelligence, namely: natural language processing, speech understanding, expert system design, requirement engineering, machine learning, truth maintenance systems, advanced concepts and methods of logic programming. Together with the previous two volumes edited by Thayse, this completes a comprehensive exposition of the subject of logics applied to AI.

From Natural Language Processing to Logic for Expert Systems: A Logic Based Approach to Artificial Intelligence

van Lamsweerde, Axel

Kamp, Yves

Snyers, Dominique

Van Der Linden, Frank

DUPONT, PIERRE

Dubois, Eric

Binot, Jean-Louis

Bruffaerts, Albert

Delsarte, Philippe

Hagelstein, Jacques

Henin, Eric

Thayse, André

Müller, Jean-Pierre

Rifaut, André

Computers & Technology

wiley

<p>Titles of related interest Simulated Annealing and Boltzmann Machines Emile Aarts, Philips Research Laboratories, Eindhoven, and Eindhoven University of Technology, The Netherlands Jan Korst, Philips Research Laboratories, Eindhoven, The Netherlands Simulated annealing is a solution method in the field of combinatorial optimization based on a simulation of the physical process of annealing. A substantial reduction of the computational effort required to use this method may be achieved by using a computational model based on massively parallel execution, such as the Boltzmann machine, which is a neural network model. This book is intended as an introduction to the theory and applications of simulated annealing and Boltzmann machines. It will be of great interest to students and researchers in combinatorial optimization and neural networks, as well as to all those using optimization techniques in practice. 1988 The Metaphorical Brain 2, Neural Networks and Beyond Michael A. Arbib, Program in Neural, Informational and Behavioral Sciences, University of Southern California, USA ‘This book combines two exciting quests, the quest to understand the workings of the human brain and the quest to build intelligent machines. It shows how each quest can provide insights vital to the success of the other. It develops basic ideas about neural networks, both artificial and biological, and introduces the language of schema theory to describe the distributed interactions that underlie intelligence in the brain of human, animal or robot. It reaffirms the paradigm of highly distributed cooperative computation, showing how it not only deepens our understanding of human mind/brain, but also catalyzes the development of a new generation of computing machinery. The book presents many new results, both from my own group and elsewhere, that have enriched that paradigm during the last fifteen years.…The book as a whole, although by no means light reading, should be accessible overall to anyone who reads Scientific American; but it is hoped that much of the material merits the attention not only of "the intelligent laymen" but also of experts and serious students of artificial intelligence, neural networks, robotics, cognitive science, or neuroscience’. —From the Author’s Preface 1989</p>

Recursive Neural Networks for Associative Memory

Hasler, Martin

Certification

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