Librería Portfolio

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 they are represented in compact form over a set of variables. In this book, we look at the variety of models used in AI planning, and the techniques 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. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, Engineering, or Cognitive Science perspective.