Towards Improved Partner Selection Using Recommendations and Trust

Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behaviour of other agents and the population itself, as agents join and leave at will. Since agents are assumed to be self-interested, it is essential for them to be able to choose the most reliable interaction partners to maximise the success of their interactions. Efficient agent selection requires information about their behaviour in different situations. This information can be obtained from direct experience as well as from recommendations. This paper presents a trust and reputation model, which allows agents to select interaction partners efficiently by adapting quickly to a dynamic environment. Our approach is built upon a number of components from several existing models to assess trustworthiness from direct interactions and recommendations. We take a multidimensional approach to evaluate trust and reputati...

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: Sarah N. Lim Choi Keung, Nathan Griffiths
• Keywords: ATAL 2008, Dynamic Environment, Intelligent Agents, Interaction Partners, Reliable Interaction Partners