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Role Model Based Mechanism for Norm Emergence in Artificial Agent Societies

  • Bastin Tony Roy Savarimuthu
  • Stephen Cranefield
  • Maryam Purvis
  • Martin Purvis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4870)

Abstract

In this paper we propose a mechanism for norm emergence based on role models. The mechanism uses the concept of normative advice whereby the role models provide advice to the follower agents. Our mechanism is built using two layers of networks, the social link layer and the leadership layer. The social link network represents how agents are connected to each other. The leadership network represents the network that is formed based on the role played by each agent on the social link network. The two kinds of roles are leaders and followers. We present our findings on how norms emerge on the leadership network when the topology of the social link network changes. The three kinds of social link networks that we have experimented with are fully connected networks, random networks and scale-free networks.

Keywords

Norm Emergence Role Model Multiagent System Random Network Autonomous Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Bastin Tony Roy Savarimuthu
    • 1
  • Stephen Cranefield
    • 1
  • Maryam Purvis
    • 1
  • Martin Purvis
    • 1
  1. 1.Department of Information ScienceUniversity of OtagoDunedinNew Zealand

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