Automated Planning

of a new generation of AI students, both graduates and undergraduates, showing that while planning is rooted in strong theoretical foundations, its applications can reach from intelligent game play to evacuation operations and even to the stars! I am certain that it will find a place on the bookshelves of every serious planning researcher, but its true place is in the minds of our undergraduate and graduate students whom it should inspire to add to the impressive body of work it describes. - Derek Long, University of Strathclyde 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 has been devoid of such a resource, despite the considerable number of advances in and the significant maturation of planning research in the past decade. With Automated Planning: Theory and Practice, Malik Ghallab, Dana Nau, and Paolo Traverso have filled that void, and have done so with a remarkably clear and well-written book. - Martha Pollack, University of Michigan The authors cover a vast range of topics in planning research. The reader will find methodical formalisms of theoretical concepts with illustrative examples, as well as practical case studies. Well-developed exercises provide practice for students of planning. This is a great book. - Stephen Smith, Great Game Products The engineer who needs to know how to use AI planning is on his own, in the tangled forest of undigested reports of original research.Until now, that is. For the first time there is a text that is comprehensive, structured and up to date. Automated Planning provides both the graduate student of AI and the engineer faced with designing an autonomous system with the reference they really need. - Sam Steele, University of Essex Planning is one of the most important aspects of intelligent behavior. AI techniques to automate it are a significant challenge. This textbook guides you through the advances made in 40 years of pioneering R&D. It provides a uniform theoretical framework as a basis for showing how practical planners are developed. Based on the authors' wide experience in teaching and tutorials, the book provides a range of learning paths adaptable to the reader's needs. - Austin Tate, AIAI, University of Edinburgh By synthesizing a broad range of planning approaches into a common conceptual framework and explaining them with a common set of problems, this book provides unique clarity in understanding these approaches and their interrelationships. - David Wilkins, SRI International

an opportunity for planning to reach a much wider community than specialized researchers, to capture the imaginations of a new generation of AI students, both graduates and undergraduates, showing that while planning is rooted in strong theoretical foundations, its applications can reach from intelligent game play to evacuation operations and even to the stars! I am certain that it will find a place on the bookshelves of every serious planning researcher, but its true place is in the minds of our undergraduate and graduate students whom it should inspire to add to the impressive body of work it describes." --Derek Long, University of Strathclyde

"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 has been devoid of such a resource, despite the considerable number of advances in and the significant maturation of planning research in the past decade. With Automated Planning: Theory and Practice, Malik Ghallab, Dana Nau, and Paolo Traverso have filled that void, and have done so with a remarkably clear and well-written book." --Martha Pollack, University of Michigan

"The authors cover a vast range of topics in planning research. The reader will find methodical formalisms of theoretical concepts with illustrative examples, as well as practical case studies. Well-developed exercises provide practice for students of planning. This is a great book." --Stephen Smith, Great Game Products "The engineer who needs to know how to use AI planning is on his own, in the tangled forest of undigested reports of original research.Until now, that is. For the first time there is a text that is comprehensive, structured and up to date. Automated Planning provides both the graduate student of AI and the engineer faced with designing an autonomous system with the reference they really need." --Sam Steele, University of Essex

"Planning is one of the most important aspects of intelligent behavior. AI techniques to automate it are a significant challenge. This textbook guides you through the advances made in 40 years of pioneering R&D. It provides a uniform theoretical framework as a basis for showing how practical planners are developed. Based on the authors' wide experience in teaching and tutorials, the book provides a range of learning paths adaptable to the reader's needs." --Austin Tate, AIAI, University of Edinburgh

"By synthesizing a broad range of planning approaches into a common conceptual framework and explaining them with a common set of problems, this book provides unique clarity in understanding these approaches and their interrelationships." --David Wilkins, SRI International