A concise introduction to models and methods for automated planning [electronic resource]

Responsibility: Hector Geffner, Blai Bonet.
Imprint: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013.
Physical description: 1 electronic text (xii, 129 p.).
Series: Synthesis digital library of engineering and computer science.; Synthesis lectures on artificial intelligence and machine learning ; #22.

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Description

Creators/Contributors

Author/Creator: Geffner, Hector.
Contributor: Bonet, Blai.

Contents/Summary

Bibliography

Includes bibliographical references (p. 113-127).

Contents

Preface Planning and Autonomous Behavior Classical Planning: Full Information and Deterministic Actions Classical Planning: Variations and Extensions Beyond Classical Planning: Transformations Planning with Sensing: Logical Models MDP Planning: Stochastic Actions and Full Feedback POMDP Planning: Stochastic Actions and Partial Feedback Discussion Bibliography Author's Biography.
(source: Nielsen Book Data)

Publisher's summary

Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective.
(source: Nielsen Book Data)

Subjects

Subjects: Artificial intelligence > Planning.; Planning > Computer simulation.; planning; autonomous behavior; model-based control; plan generation and recognition; MDP and POMDP planning; planning with incomplete information and sensing; action selection; belief tracking; domain-independent problem solving

Bibliographic information

Publication date: 2013
Series: Synthesis lectures on artificial intelligence and machine learning, 1939-4616 ; #22
Note: Part of: Synthesis digital library of engineering and computer science.; Series from website.
Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Referenced in: Compendex; INSPEC; Google scholar; Google book search
Note: Also available in print.
Format: Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
ISBN: 9781608459704 (electronic bk.); 9781608459698 (pbk.); 1608459705 (electronic bk.)
DOI: 10.2200/S00513ED1V01Y201306AIM022

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