A Research On Model Of Trust And Reputation With Loyalty And Inspirit Mechanism

Agent as a special computer system capable of flexible autonomous action in a dynamic, unpredictable and open environment has played an important role in e-commerce. But because of different ownership, the agents are likely to be self-interested and may be unreliable; no agent can know everything about its environment because in such environments it is impossible or too costly to obtain such a global perspective; and because of different ownership, no central authority can control all the agents. Despite these many uncertainties, a key component of such systems is the interactions that necessarily have to take place between the agents. Moreover, as the individuals only have incomplete knowledge about their environment and other agents, trust plays a central role in facilitating these interactions.Evaluating this expectation before making interactions is important because it can help an agent to estimate the trustworthiness of each potential partner and thus to decide whether the partner is reliable enough to interact with. Generally speaking, trust can arise from two views: the individual and the societal. The former consists of agent a's direct experiences from interactions with agent b and the various relationships that may exist between them. The latter consists of observations by a society of agent b's past behaviour (here termed its reputation) that are then made available to agents who themselves have not interacted with b. These indirect observations are aggregated in some way to define agent b's past behaviour based on the experiences of participants' in the system., so agent a can know more about agent b.Given its importance, a number of computational models of trust and reputation have been developed. But no one has been proved efficient and effective for agent mediated e-commerce. In this paper we propose a computational model of trust and reputation so that can autonomously inspirit agent to provide true information and collect necessary information to compute trust value in multi-agent systems. Firstly, this paper introduces the basic concept of trust, the status and trend in trust, analyze the art-typical trust models in multi-agent systems, it puts forward the computational trust model with loyalty and inspirit mechanism based on FIRE model, and specifies the design ideology. At last, it compares the model and draws a conclusion.The computational trust model with loyalty and inspirit mechanism based on FIRE model advances the state of the art in the following ways.1. we have developed a modular model that integrates five different types of trust and reputation: interaction trust, role-based trust, witness reputation, certified reputation, stranger reputation.2. we use the concept of loyalty to improve the algorithm of computing trust value .3. we use inspirit mechanism to encourage agents to provide true information by spreading agent's trust value.In the end, an experiment is provided to show the effectiveness of the proposed model.