Automated Planning

1st Edition

Theory and Practice

Authors: Malik Ghallab Malik Ghallab Dana Nau Dana Nau Paolo Traverso Paolo Traverso
Hardcover ISBN: 9781558608566
eBook ISBN: 9780080490519
Imprint: Morgan Kaufmann
Published Date: 3rd May 2004
Page Count: 635
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Table of Contents

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

Description

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.

Key Features

  • 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

Readership

Researchers and practitioners in artificial intelligence, robotics, and operations research


Details

No. of pages:
635
Language:
English
Copyright:
© Morgan Kaufmann 2004
Published:
Imprint:
Morgan Kaufmann
eBook ISBN:
9780080490519
Hardcover ISBN:
9781558608566

Reviews

"Automated Planning is a tremendous book! It provides an extremely comprehensive, systematic, and clear coverage of this important and exciting field of AI. Readers will not only gain a deep understanding of the theoretical foundations of planning; they will actually learn how this future-oriented technology is to be applied in a variety of areas. Automated Planning is just the standard AI planning textbook we have been waiting for." --Professor Susanne Biundo, Director of PLANET, the European Network of Excellence in AI Planning

"This book is an excellent resource for both students and teachers, and a valuable reference guide for seasoned planning researchers. It covers a surprising level of technical details for its size, yet is quite accessible to t the mathematically astute reader. I would like to thank the authors for making this body of knowledge accessible to a wider audience." --Kutluhan Erol, Mindlore, Inc.

Planning research, which has been a key area in AI since the General Problem Solver of Newell and Simon in 50's, has undergone significant progress in the last few years. In this book, Malik Ghallab, Dana Nau, and Paolo Traverso, three leading AI planning researchers, provide the first balanced and comprehensive introduction to this exciting and fast moving field. --Hector Geffner, Universitat Pompeu Fabra

"AI planning experts, teachers, and students have been waiting for ages for the first textbook about the field---the comprehensive, up-to-date synthesis. Here it is! An admirable piece of work that will undoubtedly become a standard reference." --Joachim Hertzberg, Fraunhofer Institute for Autonomous Intelligent Systems

"A much needed and timely compendium that conveys both the diverse history and the current excitement of the research in Automated Planning." --Subbarao Kambhampati, Arizona State Univ


About the Authors

Malik Ghallab Author

Malik Ghallab is Director of Research at the Laboratoire d'Analyse et d'Architecture des Systèmes, Centre National de la Recherche Scientifique, LAAS-CNRS, Toulouse. He was the director of the French national AI program, coordinated the five national research programs in information science, and served as the chair of ASTI, the French technical society in information sciences and technologies. Currently, he is also the director of the French national interdisciplinary program on robotics and artificial entities (Robea).

Affiliations and Expertise

LAAS-CNRS

Malik Ghallab Author

Malik Ghallab is Director of Research at the Laboratoire d'Analyse et d'Architecture des Systèmes, Centre National de la Recherche Scientifique, LAAS-CNRS, Toulouse. He was the director of the French national AI program, coordinated the five national research programs in information science, and served as the chair of ASTI, the French technical society in information sciences and technologies. Currently, he is also the director of the French national interdisciplinary program on robotics and artificial entities (Robea).

Affiliations and Expertise

LAAS-CNRS

Dana Nau Author

Dana Nau is a professor at the University of Maryland, and an AAAI Fellow. His research interests include AI planning and searching, and computer-integrated design and manufacturing. He holds appointments in the Department of Computer Science, the Institute for Systems Research, the Institute for Advanced Computer Studies, and the Department of Mechanical Engineering. He has more than 250 technical publications, and has co-authored computer programs that won the 1997 world championship of computer bridge and one of the top four awards in the 2002 International Planning Competition. Other awards he has received include an NSF graduate fellowship, an NSF Presidential Young Investigator award, an Outstanding Faculty award, and several “best paper” awards.

Affiliations and Expertise

University of Maryland

Dana Nau Author

Dana Nau is a professor at the University of Maryland, and an AAAI Fellow. His research interests include AI planning and searching, and computer-integrated design and manufacturing. He holds appointments in the Department of Computer Science, the Institute for Systems Research, the Institute for Advanced Computer Studies, and the Department of Mechanical Engineering. He has more than 250 technical publications, and has co-authored computer programs that won the 1997 world championship of computer bridge and one of the top four awards in the 2002 International Planning Competition. Other awards he has received include an NSF graduate fellowship, an NSF Presidential Young Investigator award, an Outstanding Faculty award, and several “best paper” awards.

Affiliations and Expertise

University of Maryland

Paolo Traverso Author

Paolo Traverso is the Head of Sistemi di Ragionamento Automatico at the Instituto Trentino di Cultura - Instituto per la Ricerca Scientifica e Tecnologica, (ITC-IRST). He was the project leader of industrial and experimental projects such as the development of Rail Traffic Management Systems, the design of tools for Automatic Train Protection, the synthesis of industrial controllers, and the development of systems for planning and control in space environment.

Affiliations and Expertise

ITC-IRST

Paolo Traverso Author

Paolo Traverso is the Head of Sistemi di Ragionamento Automatico at the Instituto Trentino di Cultura - Instituto per la Ricerca Scientifica e Tecnologica, (ITC-IRST). He was the project leader of industrial and experimental projects such as the development of Rail Traffic Management Systems, the design of tools for Automatic Train Protection, the synthesis of industrial controllers, and the development of systems for planning and control in space environment.

Affiliations and Expertise

ITC-IRST