A fuzzy framework for modelling confidence in multi-agent system

In open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates two confidence requirements, namely, trust and certainty. We use fuzzy logic in representing the importance of trust and certainty to model an agent´s confidence reasoning. The modeling mechanism eliminates the influence of untrusted agents´ opinions because certainty level and importance of trust may not be valuable in all circumstances.