Machine Learning, Meta-Reasoning and Logics (The Springer International Series in Engineering and Computer Science, 82)

ISBN 10: 0792390474 / ISBN 13: 9780792390473

Published by Springer, 1989

About this Item

Ancien livre de bibliothèque. Edition 1989. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1989. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Bibliographic Details

• Title: Machine Learning, Meta-Reasoning and Logics (The Springer International Series in Engineering and Computer Science, 82)
• Publisher: Springer
• Publication Date: 1989
• Language: English
• ISBN 10: 0792390474
• ISBN 13: 9780792390473
• Binding: Hardcover
• Condition: Bon

About this title

Synopsis

This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Machine Learning, Belief Revision, Meta-Reasoning and Logics. The objective of this Workshop was not only to address the common issues in these areas, but also to examine how to elaborate cognitive architectures for systems capable of learning from experience, revising their beliefs and reasoning about what they know. Acknowledgements The editing of this book has been supported by COST-13 Project Machine Learning and Knowledge Acquisition funded by the Commission o/the European Communities which has covered a substantial part of the costs. Other sponsors who have supported this work were Junta Nacional de lnvestiga~ao Cientlfica (JNICT), lnstituto Nacional de lnvestiga~ao Cientlfica (INIC), Funda~ao Calouste Gulbenkian. I wish to express my gratitude to all these institutions. Finally my special thanks to Paula Pereira and AnaN ogueira for their help in preparing this volume. This work included retyping all the texts and preparing the camera-ready copy. Introduction 1 1. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning. As we can see from the papers that appear in this chapter, there are basically two different schools of thought.