A concise introduction to models and methods for automated planning
- Responsibility
- Hector Geffner, Blai Bonet.
- Imprint
- Cham, Switzerland : Springer, ©2013.
- Physical description
- 1 online resource (xii, 129 pages) : illustrations
- Series
- Synthesis lectures on artificial intelligence and machine learning ; #22. 1939-4608
Online
Available online
More options
Description
Creators/Contributors
- Author/Creator
- Geffner, Hector.
- Contributor
- Bonet, Blai (Computer scientist)
Contents/Summary
- Bibliography
- Includes bibliographical references (pages 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
- Planning > Automation.
- Planning > Computer simulation.
- Artificial intelligence.
- Planification > Automatisation.
- Planification > Simulation par ordinateur.
- Intelligence artificielle.
- artificial intelligence.
- COMPUTERS > Enterprise Applications > Business Intelligence Tools.
- COMPUTERS > Intelligence (AI) & Semantics.
- 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.
- Referenced in
- Compendex
- INSPEC
- Google scholar
- Google book search
- ISBN
- 9781608459704 (electronic bk.)
- 1608459705 (electronic bk.)
- 1608459691
- 9781608459698
- 9781608459698 (pbk.)
- 9783031015649 (electronic bk.)
- 3031015649 (electronic bk.)
- DOI
- 10.2200/S00513ED1V01Y201306AIM022
- 10.1007/978-3-031-01564-9
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