Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations van Yoav Shoham and Kevin Leyton-Brown is an English-language textbook that provides insight into multiagent systems from a computer science perspective. This reference work addresses the cooperation and interaction between multiple autonomous entities and is suitable for use in higher education.
The book explores fundamental concepts from game theory, logic, and algorithms, and connects them with applications in multiagent systems. Topics such as distributed problem solving, mechanism design, social choice, and learning processes within multiple autonomous entities are covered extensively. In addition, it provides thorough explanations with examples, proofs of important results, and algorithmic analysis.
This title is essential for students and researchers seeking deeper understanding of the theoretical and practical logical foundations of multiagent systems and game theory. With supplementary background information on probability theory, Markov decision processes, and mathematical programming, it supports a solid grasp of this multidisciplinary field.