This volume investigates the critical role of norms and institutions in the development and functioning of multiagent systems. The book synthesizes current research, presenting a range of approaches, problems, and considerations pertinent to understanding social order within these systems. It assumes that norms are fundamental to agent-mediated interaction and explores both formal and computational models. The contributions cover formal analyses of normative concepts, foundational models of norms, agent architectures for norm implementation, and existing systems that incorporate these principles.

The book is positioned as an excellent reference for researchers in artificial intelligence and computer science, and suitable as a text for advanced courses on multiagent systems. Its focus on the vital importance of norms and institutions suggests it addresses foundational theoretical and practical challenges in the field. The collection of contributions indicates a comprehensive exploration of both theoretical frameworks and practical implementations of social order within artificial systems.