Machine Learning Methods for Planning (The Morgan Kaufmann Series in Machine Learning)

ISBN 10: 1558602488 / ISBN 13: 9781558602489

Published by Morgan Kaufmann Pub, 2000

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Bibliographic Details

• Title: Machine Learning Methods for Planning (The Morgan Kaufmann Series in Machine Learning)
• Publisher: Morgan Kaufmann Pub
• Publication Date: 2000
• Language: English
• ISBN 10: 1558602488
• ISBN 13: 9781558602489
• Binding: Hardcover
• Condition: New

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Synopsis

Research on planning systems has shown that domain knowledge is crucial for effectively coping with complex, changing environments. Unfortunately, acquiring and incorporating the necessary domain knowledge can be a significant problem when building a practical planning system. The knowledge engineering process is typically time-consuming and expensive. Furthermore, if a human expert is not available it may be extremely difficult to obtain the necessary knowledge. One solution is for a system to automatically acquire domain-specific knowledge through learning. The idea of a planning system that can improve its performance with experience is very attractive. Furthermore, advances in machine learning have provided a deeper understanding of learning mechanisms relevant to acquiring such knowledge. For this reason, there is a great deal of interest in this area of artificial intelligence.This book brings together, in one volume, a set of chapters from the primary researchers in the field, presenting a picture of its current state and its likely areas for application. The chapters describe a variety of learning methods