A model of indirect reputation assessment for adaptive buying agents in electronic markets
نویسنده
چکیده
In this paper, we present a model for designing buying agents in electronic marketplaces that adapt by adjusting decisions about which sellers to select for business, based on reputation ratings provided by other buying agents in the marketplace (known as indirect reputation information). The focus of our research is a method for effectively representing and employing this indirect reputation information. In particular, we address the case of buying agents providing deceptive information to other buyers, by having each buyer model not only the reputation of all sellers in the marketplace but also the reputation of each buyer. We also systematically account for differing standards between buyers, in assessing the reputation of sellers. Overall, the model presented here builds on a strong foundation of how best to model seller reputation but allows for a suitably cautious integration of a social aspect to the reputation modelling, towards improved purchasing decisions for buyers.
منابع مشابه
Indirect Reputation Assessment in Electronic Markets
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