The trusting agent in order to analyze the Risk that could be present in its future interaction with a trusted agent might solicit for its recommendations from other agents. Based on the recommendations achieved the trusting agent can decide whether to interact or not with the trusted agent. If the trusting agent decides to proceed, then after its interaction it should adjust the creditability of the recommending agents, whose recommendation it considered. Doing this would help the future trusting agents to classify the recommending agents according to their trustworthiness and ignore those which are un-trustworthy. In this paper we propose such an approach by which the trusting agent adjusts the credibility of the recommending agent after its interaction depending on the recommendation that it gave. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Hussain, O. K., Chang, E., Hussain, F. K., & Dillon, T. S. (2006). A methodology for determining the creditability of recommending agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4253 LNAI-III, pp. 1119–1127). Springer Verlag. https://doi.org/10.1007/11893011_141
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