Autonomous AI systems need complex computational techniques for planning and performing actions. Planning and acting require significant deliberation because an intelligent system must coordinate and integrate these activities in order to act effectively in the real world. This book presents a comprehensive paradigm of planning and acting using the most recent and advanced automated-planning techniques. It explains the computational deliberation capabilities that allow an actor, whether physical or virtual, to reason about its actions, choose them, organize them purposefully, and act deliberately to achieve an objective. Useful for students, practitioners, and researchers, this book covers state-of-the-art planning techniques, acting techniques, and their integration which will allow readers to design intelligent systems that are able to act effectively in the real world.

Author: Malik Ghallab, Dana Nau, Paolo Traverso
Binding Type: Hardcover
Publisher: Cambridge University Press
Published: 08/09/2016
Pages: 368
Weight: 1.85lbs
Size: 10.42h x 7.05w x 0.99d
ISBN: 9781107037274

About the Author
Ghallab, Malik: - Malik Ghallab is a Research Director at the Centre National de la Recherche Scientifique (CNRS), Paris. For most of his career he has been with LAAS-CNRS, University of Toulouse. His research activity is mainly focused on planning, acting and learning in robotics and AI. He has co-authored several books and more than two hundred scientific publications. He has been head of a French research program in Robotics, director of LAAS-CNRS and CEO for Research and Technology of INRIA. He is a Fellow of the European Coordinating Committee for Artificial Intelligence.Nau, Dana: - Dana Nau is a Professor at the University of Maryland, in the Department of Computer Science and the Institute for Systems Research. He has more than 300 refereed technical publications. Some of his best-known research contributions include the discovery of pathological game trees, the strategic planning algorithm that Bridge Baron used to win the 1997 world championship of computer bridge, applications of AI in automated manufacturing, automated planning systems such as SHOP, SHOP2, and Pyhop, and evolutionary game-theoretic studies of cultural evolution. He is a fellow of the Association for the Advancement of Artificial Intelligence Fellow and the Association for Computer Machinery.Nau, Dana: - Dana Nau is a Professor at the University of Maryland, in the Department of Computer Science and the Institute for Systems Research. He has more than 300 refereed technical publications. Some of his best-known research contributions include the discovery of pathological game trees, the strategic planning algorithm that Bridge Baron used to win the 1997 world championship of computer bridge, applications of AI in automated manufacturing, automated planning systems such as SHOP, SHOP2, and Pyhop, and evolutionary game-theoretic studies of cultural evolution. He is a fellow of the Association for the Advancement of Artificial Intelligence Fellow and the Association for Computer Machinery.
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