Insurance services in multi-agent systems

  • Authors:
  • Yuk-Hei Lam;Zili Zhang;Kok-Leong Ong

  • Affiliations:
  • School of Information Technology, Deakin University, Waurn Ponds, Victoria, Australia;School of Information Technology, Deakin University, Waurn Ponds, Victoria, Australia;School of Information Technology, Deakin University, Waurn Ponds, Victoria, Australia

  • Venue:
  • AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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Abstract

In a multi-agent environment, there is often the need for an agent to cooperate with others so as to ensure that a given task is achieved timely and cost-effectively. Present agent systems currently maximizes this through mechanisms such as trust and risk assessments. In this paper, we extend this mechanism by introducing the concept of insurance, in which the insurance agents act as a bridge between agents who require resources from others. Unlike traditional systems, agents purchase insurance so as to guarantee to have the requested resources during the task execution time and thus minimize the risk in task failure. The novelty of this proposal is that it ensures agents continuously to exchange resources and to seek maximum expected utility in a dynamic environment at the same time. Our experimental results confirm the feasibility of our approach.