New Directions in AI Planning

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Editors
Ghallab, M., Milani, A.
Pub. date
January 1996
Pages
418
Binding
hardcover
Volume
31 of Frontiers in Artificial Intelligence and Applications
ISBN print
978-90-5199-237-3
Subject
Artificial Intelligence, Computer & Communication Sciences, Computer Science

Planning is a broad research topic with connections into topics as robotics, control theory, operations research and learning. Planning under certainty, or `classical' search based planning is one direction in the submitted papers of the European Workshop on Planning (EWSP), with approaches ranging from the introduction of conditional actions to methods based on statistics and decision theory.The other purpose is reflected in papers dealing with aspects of planning as abstraction, plan recognition, plan modification, knowledge level planning and learning. Borderline topics such as scheduling and resource allocation, temporal reasoning and prediction and multiple agents are also treated in this volume.Topics of interest include: Classical AI planning, Planning and reasoning about action and change, Plan recognition, Planning and perception, Planning and learning, Planning and temporal reasoning, Planning under uncertainty, Decision-theoretic planning, Scheduling, Multi-agent planning, Reactive systems, Applications and domain-specific techniques.