A proposal for intelligent agents with adjusting self-reputation capability for preventing fraud in multi-agent societies

Sheng Wen Wang, Chung Yuan Huang, Chuen-Tsai Sun

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Intelligent agents are increasingly being used for tasks such as e-commerce autobidding. Cooperation and defection challenges commonly found in multi-agent systems make the design and construction of a reliable reputation mechanism an important research and engineering goal. Here we describe our proposal for an intelligent agent model that addresses learning issues in terms of self-reputation. The agents in our proposed model are capable of evaluating their behaviors based on a mix of public and private interest considerations, and of testing various solutions aimed at mitigating self-discrepancy and meeting social standards. Our results indicate promise for integrating a self-reputation mechanism into a self-learning framework in a manner that encourages the early emergence of social cooperation among multiple agents and specific cooperation with individual agents.

Original languageEnglish
Pages (from-to)313-332
Number of pages20
JournalJournal of Information Science and Engineering
Volume30
Issue number2
DOIs
StatePublished - Mar 2014

Keywords

  • Cooperation and defection
  • E-commerce
  • Intelligent agent
  • Multi-agent society
  • Prisoners' dilemma
  • Self-reputation

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