A BDI agent architecture for reasoning about reputation

Agents acting on behalf of human users should cooperate with others and reason about their expected behavior in order to avoid deceptions and frauds. This knowledge about others will be used as a means to judge their reputation, and it involves how the services were provided, and whether they suited the particular expectations of the human user represented by the agent. This paper outlines an application of the most popular (and theoretically sound) agent architecture to that problem. This is the so called BDI architecture. Our research describes the beliefs, desires, intentions, and the relationships among them relevant to the given dominion of an agent reasoning about reputation. Due to the subjective nature of such reputations, we use fuzzy sets to represent them