Show Notes
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#autonomousagentswithdivergentinterests #Nashequilibriumcomputation #mechanismdesignandauctions #epistemiclogicforagents #multiagentcomputationalcomplexity #MultiagentSystems
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations by Yoav Shoham and Kevin Leyton-Brown is a rigorous computer science textbook on systems made up of multiple autonomous agents. Published by Cambridge University Press in 2008, it treats multiagent systems as both an engineering problem and a theoretical field, asking how independent entities act, reason, communicate, compete, cooperate, and make collective decisions. The book draws heavily on artificial intelligence, game theory, economics, logic, operations research, and parts of linguistics and philosophy. Its purpose is not to offer a quick programming guide, but to establish a conceptual and mathematical foundation for understanding interaction among agents with different information, preferences, and capabilities. Designed for advanced undergraduate and graduate study, it also serves as a reference for researchers who need a structured account of strategic behavior, social choice, mechanism design, epistemic reasoning, and algorithmic questions in distributed intelligent systems.