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Social Order in Multiagent Systems provides an overview of current approaches, problems, and considerations related to the study of norms and institutions in the context of multiagent systems. The contributions in this volume share the assumption that norms and other social institutions are of vital importance for the development of multiagent systems and agent-mediated interaction. Both formal and computational models of norms and normative systems are presented, including formal analysis of normative concepts and foundational models of norms; agent and systems architectures for implementing norms; and implemented systems.
Social Order in Multiagent Systems is an excellent reference for researchers in artificial intelligence and computer science, and can be used as text for advanced level courses in multiagent systems.
List of contents
Social Order in Info Societies: An Old Challenge for Innovation.- I.- 1 Why Agents Comply with Norms and Why They Should.- 2 Are Incentives Good Enough to Achieve (Info) Social Order?.- II.- 3 Multiagent Benevolence as a Societal Norm.- 4 Deliberate Normative Agents.- III.- 5 Contractual Agent Societies.- 6 An Organizational Semiotics Perspective for Norm-Based Agent Design.- IV.- 7 Social Institutions, Norms, and Practices.- 8 The Formation of Common Norms on the Assumption of 'Fundamentally' Imperfect Information.- V.- 9 Computational Ecosystems in Home Health Care.- 10 Social Norms on Agents' Demographic Events.
Summary
Social Order in Multiagent Systems provides an overview of current approaches, problems, and considerations related to the study of norms and institutions in the context of multiagent systems. The contributions in this volume share the assumption that norms and other social institutions are of vital importance for the development of multiagent systems and agent-mediated interaction. Both formal and computational models of norms and normative systems are presented, including formal analysis of normative concepts and foundational models of norms; agent and systems architectures for implementing norms; and implemented systems.
Social Order in Multiagent Systems is an excellent reference for researchers in artificial intelligence and computer science, and can be used as text for advanced level courses in multiagent systems.
