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Automated Planning: Theory and Practice Book

Automated Planning: Theory and Practice
Automated Planning: Theory and Practice, Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world applications create new opportunities for synergy between, Automated Planning: Theory and Practice has a rating of 5 stars
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Automated Planning: Theory and Practice, Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world applications create new opportunities for synergy between, Automated Planning: Theory and Practice
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  • Automated Planning: Theory and Practice
  • Written by author Malik Ghallab
  • Published by Elsevier Science, May 2004
  • Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world applications create new opportunities for synergy between
  • "In recent years, comprehensive texts have been written for several of the other major areas of Artificial Intelligence, including machine learning, natural-language processing, and constraint-satisfaction processing, but until now, the field of planning
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Authors

About the authors
Foreword
Preface
Table of notations
Ch. 1Introduction and overview1
Ch. 2Representations for classical planning19
Ch. 3Complexity of classical planning55
Ch. 4State-space planning69
Ch. 5Plan-space planning85
Ch. 6Planning-graph techniques113
Ch. 7Propositional satisfiability techniques143
Ch. 8Constraint satisfaction techniques167
Ch. 9Heuristics in planning199
Ch.10Control rules in planning217
Ch. 11Hierarchical task network planning229
Ch. 12Control strategies in deductive planning263
Ch. 13Time for planning285
Ch. 14Temporal planning309
Ch. 15Planning and resource scheduling349
Ch. 16Planning based on Markov decision processes379
Ch. 17Planning based on model checking403
Ch. 18Uncertainty with Neoclassical techniques437
Ch. 19Space applications451
Ch. 20Planning in robotics469
Ch. 21Planning for manufacturability analysis493
Ch. 22Emergency evacuation planning505
Ch. 23Planning in the game of bridge517
Ch. 24Other approaches to planning527
App. ASearch procedures and computational complexity543
App. BFirst-order logic555
App. CModel checking561
Bibliography573
Index609


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