ADFs: An Evolutionary Approach to Predicate Invention

This review paper makes explicit, for the first time, the conceptual similarity between Genetic Programming’s ADFs and Machine Learning’s invented features/predicates, and shows how the evolutionary nature of ADFs allows the complex when and what question

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Springer-Verlag Wien GmbH

Dr. Vera Kurkova Institute of Computer Science

Dr. Roman Neruda Institute of Computer Science

Dr. Miroslav Karny Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Prague, Czech Republic

Dr. Nigel C. Steele Division of Mathematics School of Mathematical and Information Sciences Coventry University, Coventry, U.K.

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machines or similar means, and storage in data banks. Product Liability: The publisher can give no guarantee for all the information contained in this book. This does also refer to information about drug dosage and application thereof. In every individual case the respective user must check its accuracy by consulting other pharmaceutical literature. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. © 2001 Springer-Verlag Wien

Originally published by Springer- Verlag Wien New York in 2001 Camera-ready copies provided by authors and editors Printed by Novographic Druck G.m.b.H., A-1230 Wien Printed on acid-free and chlorine-free bleached paper SPIN 10832776

With 375 Figures

ISBN 978-3-211-83651-4 ISBN 978-3-7091-6230-9 (eBook) DOI 10.1007/978-3-7091-6230-9

Preface The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Networks and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits. In this conference, theoretical insights and reports on successful applications are both strongly represented. It is· especially pleasing to observe the dual affinity with biology. There are papers dealing with cognition, neurocontrol, and biologically inspired brain models, while there are also descriptions of successful applications of comp