Abstract
Trust is considered as the crucial factor for agents in decision making to choose the most trustworthy partner during their interaction in open distributed multiagent systems. Most current trust models are the combination of experience trust and reference trust, in which the reference trust is estimated from the judgements of agents in the community about a given partner. These models are based on the assumption that all agents are reliable when they share their judgements about a given partner to the others. However, these models are no more longer appropriate to applications of multiagent systems, where several concurrent agents may not be ready to share their private judgement about others or may share the wrong data by lying to their partners. In this paper, we introduce a combination model of experience trust and experience trust with a mechanism to enable agents take into account the trustworthiness of referees when they refer their judgement about a given partner. We conduct experiments to evaluate the proposed model in the context of the e-commerce environment. Our research results suggest that it is better to take into account the trustworthiness of referees when they share their judgement about partners. The experimental results also indicate that although there are liars in the multiagent systems, combination trust computation is better than the trust computation based only on the experience trust of agents.
Highlights
Many software applications are open distributed systems whose components are decentralized, constantly changed, and spread throughout network
2) Results: The results indicate that the average quality of bought products of all buyers in the case of using reputation with considering of trust of referees is always significantly higher than those in the case using reputation without considering of trust of referees
What is better if buyer agent uses only its experience trust in stead of combination of experience and reference trust? In order to answer this question,the proposed model will be compared with the model of Manchala’s model [19] (Section IV-C)
Summary
Many software applications are open distributed systems whose components are decentralized, constantly changed, and spread throughout network. Peer-to-peer networks, semantic web, social network, recommender systems in e-business, autonomic and pervasive computing are among such systems. These systems may be modeled as open distributed multiagents in which autonomous agents often interact with each other according to some communication mechanisms and protocols. The problem of how agents decide with whom and when to interact has become the active research topic in the recent years. It means that they need to deal with degrees of uncertainty in making decisions during their interaction. The more trust an agent commits on a partner, the more possibility with such partner he decides to interact
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