Social Order in Multiagent Systems

1. Front Matter

   Pages i-ix

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2. Introduction

   1. Introduction

      • Rosaria Conte, Chris Dellarocas

      Pages 1-15

3. Part I

   1. Front Matter

      Pages 17-17

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   2. Why Agents Comply with Norms, and Why They Should

      • Giovanni Sartor

      Pages 19-43

   3. Are Incentives Good Enough to Achieve (Info) Social Order?

      • Rosaria Conte, Cristiano Castelfranchi

      Pages 45-61

4. Part II

   1. Front Matter

      Pages 63-63

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   2. Multiagent Benevolence as a Societal Norm

      • Abdulla M. Mohamed, Michael N. Huhns

      Pages 65-83

   3. Deliberate Normative Agents

      • G. Boella, L. Lesmo

      Pages 85-110

5. Part III

   1. Front Matter

      Pages 111-111

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   2. Contractual Agent Societies

      • Chrysanthos Dellarocas, Mark Klein

      Pages 113-133

   3. An Organizational Semiotics Perspective for Norm-Based Agent Design

      • Joaquim Filipe, Kecheng Liu

      Pages 135-158

6. Part IV

   1. Front Matter

      Pages 159-159

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   2. Social Institutions, Norms, and Practices

      • Wolfgang Balzer, Raimo Tuomela

      Pages 161-180

   3. The Formation of Common Norms on the Assumption of ‘Fundamentally’ Imperfect Information

      • Susumu Egashira, Takashi Hashimoto

      Pages 181-198

7. Part V

   1. Front Matter

      Pages 199-199

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   2. Computational Ecosystems in Home Health Care

      • Rune Gustavsson, Martin Fredriksson, Christer Rindebäck

      Pages 201-219

   3. Social Norms on Agents’ Demographic Events

      • Francesco C. Billari, Giuseppe A. Micheli

      Pages 221-235

8. Back Matter

   Pages 237-239

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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.

• agents
• artificial intelligence
• computer
• computer science
• innovation
• intelligence
• organization

• Institute of Psychology/National Research Council, Italy

  Rosaria Conte

• Massachusetts Institute of Technology, USA

  Chrysanthos Dellarocas

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