Fuzzy Non-Homogeneous Markov Systems
Applied Intelligence
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In his classical model of trust, Coleman argues the decision of an actor to trust or not is a function of the expected gain and loss involved. Here we will improve the Coleman model of trust. We believe that only if one agent is in the trustworthy group can the other agents trust it. In this paper, we mainly devote ourselves to the work of management of agents according to their reputation: we take advantage of FNHMS (Fuzzy Non-homogeneous Markov System) to model the agent system, during which three population parameters and two basic parameters are defined to deduce the transition probabilities matrix, so lastly we can simulate the change of the scale of trustworthy agents and know the whole distribution of agents about their reputation. Finally our experimental results prove that the theoretical results are true, and our improvement of the Coleman model of trust is fit and reasonable.