A Concise Introduction to Models and Methods for Automated Planning

The book delves into the model-based approach to autonomous behavior in AI planning, highlighting the computational challenges posed by various models. It provides a focused examination of essential planning methods, emphasizing clarity and depth without overwhelming the reader. Covering topics such as classical planning, stochastic actions, and logical models, it caters to students and researchers in AI, engineering, and cognitive science. The content is designed to offer a modern perspective on planning while remaining accessible and self-contained.