Automated Planning and Acting

This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.

Malik Ghallab (Author), Dana Nau (Author), Paolo Traverso (Author)

9781107037274, Cambridge University Press

Hardback, published 9 August 2016

368 pages, 94 b/w illus.
26 x 18.3 x 2.4 cm, 0.85 kg

'This book by Ghallab, Nau and Traverso is the best to date on automated artificial intelligence planning. It is very comprehensive, covering topics both in the core of AI planning and acting and other related AI topics such as robotic execution, automation and learning. Numerous features make it ideal for students to learn about AI planning, including historical notes and many illustrative examples. The book will serve as a trove of resources for researchers and practitioners in AI planning and other AI fields.' Qiang Yang, Chair Professor and Head of the Computer Science and Engineering Department, Hong Kong University of Science and Technology

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.

1. Introduction
2. Deliberation with deterministic models
3. Deliberation with refinement methods
4. Deliberation with temporal models
5. Deliberation with nondeterministic models
6. Deliberation with probabilistic models
7. Other deliberation functions
8. Concluding remarks.

Subject Areas: Natural language & machine translation [UYQL], Artificial intelligence [UYQ], Robotics [TJFM1]