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Machine Learning, Meta-Reasoning and Logics (Paperback, Softcover Repri)
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Machine Learning, Meta-Reasoning and Logics (Paperback, Softcover Repri)
Series: The Springer International Series in Engineering and Computer Science, 82
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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.
General
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