This uncorrected manuscript excerpt from Multiagent Systems serves as a comprehensive guide to the algorithmic, game-theoretic, and logical principles that underpin multiagent systems. The text introduces solution concepts in game theory, including Nash equilibria and strategies for fostering cooperation among agents. Chapters delve into distributed problem-solving, noncooperative and coalitional game theory, multiagent learning, communication, and the logical representation of knowledge and belief. With detailed algorithms for solution computation and analyses of computational complexity, this work, enriched by contributions from graduate students, provides a rigorous foundation for understanding and designing multiagent interactions.