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Automated planning = theory and practice /

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Automated planning/ Ghallab Malik, Dana Nau, Paolo Traverso.
其他題名:	theory and practice /
作者:	Ghallab, Malik.
其他作者:	Nau, Dana S.
出版者:	Amsterdam ;Elsevier/Morgan Kaufmann, : c2004.,
面頁冊數:	xxviii, 635 p. :ill. ; : 25 cm.;
標題:	Production planning - Data processing. -
電子資源:	An electronic book accessible through the World Wide Web; click for information
ISBN:	9781558608566

Automated planning = theory and practice /
Ghallab, Malik.

Automated planningtheory and practice /[electronic resource] :Ghallab Malik, Dana Nau, Paolo Traverso. - Amsterdam ;Elsevier/Morgan Kaufmann,c2004. - xxviii, 635 p. :ill. ;25 cm.

Includes bibliographical references (p. 573-607) and index.

1 Introduction and Overview -- I Classical Planning -- 2 Representations for Classical Planning*3 Complexity of Classical Planning*4 State-Space Planning*5 Plan-Space Planning -- II Neoclassical Planning -- 6 Planning-Graph Techniques*7 Propositional Satisfiability Techniques*8 Constraint Satisfaction Techniques -- III Heuristics and Control Strategies -- 9 Heuristics in Planning*10 Control Rules in Planning*11 Hierarchical Task Network Planning*12 Control Strategies in Deductive Planning -- IV Planning with Time and Resources -- 13 Time for Planning*14 Temporal Planning*15 Planning and Resource Scheduling -- V Planning under Uncertainty -- 16 Planning based on Markov Decision Processes*17 Planning based on Model Checking*18 Uncertainty with Neo-Classical Techniques -- VI Case Studies and Applications -- 19 Space Applications*20 Planning in Robotics*21 Planning for Manufacturability Analysis*22 Emergency Evacuation Planning *23 Planning in the Game of Bridge -- VII Conclusion -- 24 Conclusion and Other Topics -- VIII Appendices -- A Search Procedures and Computational Complexity*B First Order Logic*C Model Checking.

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 theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications. Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking. The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students. *Comprehensively explains paradigms for automated planning. *Provides a thorough understanding of theory and planning practice, and how they relate to each other. *Presents case studies of applications in space, robotics, CAD/CAM, process control, emergency operations, and games. *Provides a thorough understanding of AI planning theory and practice, and how they relate to each other. *Covers all the contemporary topics of planning, as well as important practical applications of planning, such as model checking and game playing. *Presents case studies and applications in planning engineering, space, robotics, CAD/CAM, process control, emergency operations, and games. *Provides lecture notes, examples of programming assignments, pointers to downloadable planning systems and related information online.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9781558608566

Source: 97254:97254Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

291059
Production planning
--Data processing.Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: TS183.3 / .M35 2004eb

Dewey Class. No.: 658.5

Automated planning = theory and practice /
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245 1 0 $a Automated planning $h [electronic resource] : $b theory and practice / $c Ghallab Malik, Dana Nau, Paolo Traverso.
260 $a Amsterdam ; $a Boston : $c c2004. $b Elsevier/Morgan Kaufmann,
300 $a xxviii, 635 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references (p. 573-607) and index.
505 0 $a 1 Introduction and Overview -- I Classical Planning -- 2 Representations for Classical Planning*3 Complexity of Classical Planning*4 State-Space Planning*5 Plan-Space Planning -- II Neoclassical Planning -- 6 Planning-Graph Techniques*7 Propositional Satisfiability Techniques*8 Constraint Satisfaction Techniques -- III Heuristics and Control Strategies -- 9 Heuristics in Planning*10 Control Rules in Planning*11 Hierarchical Task Network Planning*12 Control Strategies in Deductive Planning -- IV Planning with Time and Resources -- 13 Time for Planning*14 Temporal Planning*15 Planning and Resource Scheduling -- V Planning under Uncertainty -- 16 Planning based on Markov Decision Processes*17 Planning based on Model Checking*18 Uncertainty with Neo-Classical Techniques -- VI Case Studies and Applications -- 19 Space Applications*20 Planning in Robotics*21 Planning for Manufacturability Analysis*22 Emergency Evacuation Planning *23 Planning in the Game of Bridge -- VII Conclusion -- 24 Conclusion and Other Topics -- VIII Appendices -- A Search Procedures and Computational Complexity*B First Order Logic*C Model Checking.
520 $a 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 theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications. Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking. The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students. *Comprehensively explains paradigms for automated planning. *Provides a thorough understanding of theory and planning practice, and how they relate to each other. *Presents case studies of applications in space, robotics, CAD/CAM, process control, emergency operations, and games. *Provides a thorough understanding of AI planning theory and practice, and how they relate to each other. *Covers all the contemporary topics of planning, as well as important practical applications of planning, such as model checking and game playing. *Presents case studies and applications in planning engineering, space, robotics, CAD/CAM, process control, emergency operations, and games. *Provides lecture notes, examples of programming assignments, pointers to downloadable planning systems and related information online.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on Aug. 2, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Production planning $x Data processing. $3 291059
655 7 $a Electronic books. $2 local. $3 96803
700 1 $a Nau, Dana S. $3 291057
700 1 $a Traverso, Paolo. $3 291058
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856 4 1 $3 Table of contents $u http://www.loc.gov/catdir/toc/els051/2003064381.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/description/els051/2003064381.html
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