Martin Rehák
ABSTRACT
General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in the model extends the current work by using the fuzzy number approach, readily representing the trust uncertainty without sacrificing the simplicity. The model contains the trust representation part, decision-making part and a learning part. In our representation, we define the trusted agents as a type-2 fuzzy set. In a decision-making part, we use the methods from the fuzzy rule computation and fuzzy control to take trusting decision. For trust learning, we use a strictly iterative approach. We verify our model in a multi-agent simulation where the agents in the community learn to identify and refuse the defectors. Our simulation contains the environment-caused involuntary failure used as a background noise that makes the trust-learning difficult.
- D. Dubois and H. Prade. Fuzzy real algebra:some results. Fuzzy Sets and Systems, 2(4):327--348, 1979.Google Scholar
Cross Ref
- S. Ramchurn, D. Huynh, and N. R. Jennings. Trust in multiagent systems. The Knowledge Engineering Review, 19(1), 2004. Google ScholarDigital Library
Index Terms
- Fuzzy number approach to trust in coalition environment
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