Machine Learning Methods for Planning

摘要: From the Publisher: Research on planning systems has shown that domain knowledge is crucial for effectively coping with complex, changing environments. Unfortunately, acquiring and incorporating necessary can be a significant problem when building practical system. The engineering process typically time-consuming expensive. Furthermore, if human expert not available it may extremely difficult to obtain knowledge. One solution system automatically acquire domain-specific through learning. idea of improve its performance experience very attractive. advances in machine learning have provided deeper understanding mechanisms relevant such For this reason, there great deal interest area artificial intelligence. This book brings together, one volume, set chapters from primary researchers field, presenting picture current state likely areas application. describe variety methods-including analogical, case-based, explanation-based, decision-tree, reinforcement techniques-and wide range architectures, running gamut STRIPS-like problem-reduction architectures reactive agents. It will draw AI developers, especially those learning, planning, scheduling, as well other fields, operations research, focus automated planning.