A methodology for determining the creditability of recommending agents

Authors:
Omar Khadeer Hussain;Elizabeth Chang;Farookh Khadeer Hussain;Tharam S. Dillon
Affiliations:
School of Information Systems, Curtin University of Technology, Perth, Australia;School of Information Systems, Curtin University of Technology, Perth, Australia;School of Information Systems, Curtin University of Technology, Perth, Australia;Faculty of Information Technology, University of Technology, Sydney, Australia
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

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.