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A Concise Introduction to Models and Methods for Automated Planning / by Hector Geffner, Blai Bonet.

Springer Nature Synthesis Collection of Technology Collection 5 Available online

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Format:
Book
Author/Creator:
Geffner, Hector., Author.
Bonet, Blai., Author.
Series:
Synthesis Lectures on Artificial Intelligence and Machine Learning, 1939-4616
Language:
English
Subjects (All):
Artificial intelligence.
Machine learning.
Neural networks (Computer science).
Artificial Intelligence.
Machine Learning.
Mathematical Models of Cognitive Processes and Neural Networks.
Local Subjects:
Artificial Intelligence.
Machine Learning.
Mathematical Models of Cognitive Processes and Neural Networks.
Physical Description:
1 online resource (XII, 132 p.)
Edition:
1st ed. 2013.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2013.
Summary:
Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective. Table of Contents: Preface / Planning and Autonomous Behavior / Classical Planning: Full Information and Deterministic Actions / Classical Planning: Variations and Extensions / Beyond Classical Planning: Transformations / Planning with Sensing: Logical Models / MDP Planning: Stochastic Actions and Full Feedback / POMDP Planning: Stochastic Actions and Partial Feedback / Discussion / Bibliography / Author's Biography.
Contents:
Preface
Planning and Autonomous Behavior
Classical Planning: Full Information and Deterministic Actions
Classical Planning: Variations and Extensions
Beyond Classical Planning: Transformations
Planning with Sensing: Logical Models
MDP Planning: Stochastic Actions and Full Feedback
POMDP Planning: Stochastic Actions and Partial Feedback
Discussion
Bibliography
Author's Biography.
ISBN:
9783031015649
3031015649

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