EAN: 9783031004360

Bilder-Quelle: discount24.de - Sport-Freizeit

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

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