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Reputation in Multi Agent Systems and the Incentives to Provide Feedback

机译:在多代理系统中的声誉和提供反馈的动机

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摘要

The emergence of the Internet leads to a vast increase in the number of interactions between parties that are completely alien to each other. In general, such transactions are likely to be subject to fraud and cheating. If such systems use rational software agents to negotiate and execute transactions, mechanisms that lead to favorable outcomes for all parties instead of giving rise to defective behavior are necessary to make the system work: trust and reputation mechanisms. This paper analyzes different incentive mechanisms helping these trust and reputation mechanisms in eliciting users to report own experiences honestly.
机译:互联网的出现导致彼此之间完全陌生的各方之间的互动数量大大增加。通常,此类交易可能会遭受欺诈和欺诈。如果此类系统使用理性的软件代理来协商和执行交易,则使系统正常工作所必需的,可为各方带来有利结果而不引起不良行为的机制:信任和信誉机制。本文分析了不同的激励机制,这些机制有助于这些信任和声誉机制促使用户诚实地报告自己的体验。

著录项

  • 来源
    《Multiagent system technologies》|2010年|p.40-51|共12页
  • 会议地点 Leipzig(DE);Leipzig(DE);Leipzig(DE);Leipzig(DE)
  • 作者单位

    University of Bayreuth Chair of Information Systems Management 95440 Bayreuth, Germany;

    University of Bayreuth Chair of Information Systems Management 95440 Bayreuth, Germany;

    University of Bayreuth Chair of Information Systems Management 95440 Bayreuth, Germany;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

    reputation; incentives;

    机译:声誉;激励措施;

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