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Egashira, S. and Hashimoto, T. (2000) The Formation of Common Norms on the Assumption of `Fundamentally' Imperfect Information. In Rosaria Conte and Chris Dellarocas, editors, Social Order in Multiagent Systems: Workshop on Norms and Institutions in Multi-Agent Systems (Held in conjunction with Autonomous Agents'2000).
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Paper at a Glance 

Chapter 8
THE FORMATION OF COMMON NORMS
ON THE ASSUMPTION OF `FUNDAMENTALLY'
IMPERFECT INFORMATION
Susumu Egashira
Otaru University of Commerce
3­5­21, Midori, Otaru, 047­8501, Japan
University of Cambridge
Cambridge, UK
egashira@res.otaru­uc.ac.jp
Takashi Hashimoto
School of Knowledge Science
Japan Advanced Institute of Science and Technology
Tatsunokuchi, Ishikawa, 923­1292, Japan
hash@jaist.ac.jp
Social Order in Multiagent Systems,
Rosaria Conte & Chris Dellarocas (eds.), Kluwer (2001)
(Multiagent Systems, Artificial Societies, and Simulated
Organizations : Volume 2)
Abstract The role of social norms is to process `fundamentally' imperfect infor­ mation. Information about future events, often needed in economic activity, is inevitably imperfect, since there's no way to check its cor­ rectness from our subjective viewpoint. The reason to be able to act well in spite of `fundamentally' imperfect information is that we have so­ cial systems available to process and complement imperfect information. In this article, the problem of transferring information between agents is investigated with a multi­agent model. The model represents dual subjective interpretations of information by agents, information senders and receivers. Two types of norms emerge in the agents' system. One is the norm between senders and receivers, and the other among re­ ceivers. The former facilitates clear communication between senders and receivers. On the other hand, the latter intervenes to form the former norms. The receivers decide their action by referring to others' behaviour, so some clusters are formed. It is notable that the relation­ ship between intervals of referring to others' behaviour by receivers and the average size of clusters is a power. This means that even if the i ii agents seldom refer to others, there is a possibility of clusters emerging. Economic implications of our model and results are discussed.
Keywords: Multi­Agent Model, `Fundamentally' Imperfect Information, ...
BibTex
@inproceedings{egashira00theFormation,
  author={S. Egashira and T. Hashimoto},
  title={The Formation of Common Norms on the Assumption of `Fundamentally' Imperfect Information},
  year={2000},
  editor={Rosaria Conte and Chris Dellarocas},
  booktitle={Social Order in Multiagent Systems: Workshop on Norms and Institutions in Multi-Agent Systems (Held in conjunction with Autonomous Agents'2000)},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/egashira00theFormation.html}
}

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