Dynamic Trust Processing in Multi-Agent Systems
多Agent系统中信任的动态性处理

Trust is one of the most important concepts guiding decision making and contracting in multi-agent sys- tems. Collecting necessary information to make a trust relationship decision, continuously managing and maintaining rust relationships overtime as well as monitoring and re-evaluating existing trust relationships are the key issues for trust management in multi-agent systems. While previous work provides some solutions to these key issues, there are still some problems remained unsolved especially the trust dynamic processing problem. In this paper we propose a coofidence-reputation model with trust network for trust dynamic processing so that agents can autonomously deal with deception and identify trustworthy parties in multi-agent systems. When evaluating the trustworthiness of the target agent, our approach not only considers the confidence information (based on direct prior interactions with the target agent) and the reputation information from trust network, but also considers the trust's ontological property.