Abstract
Reputation systems support trust formation in artificial
societies by keeping track of the behavior of autonomous
entities. In the absence of any commonly trusted entity, the
reputation system has to be distributed to the autonomous
entities themselves. They may cooperate by issuing
recommendations of other entities' trustworthiness. At the time
being, distributed reputation systems rely on plausibility for
assessing the truthfulness and consistency of such
recommendations. In this paper, we point out the limitations of
such plausibility considerations and present an alternative
concept that is based on evidences. The concept combines the
strengths of non-repudiability and distributed reputation
systems. We analyze the issues that are related to the issuance
and gathering of evidences. In this regard, we identify four
patterns of how evidence-awareness overcomes the limitations of
plausibility considerations.
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