Reputation-Based Service Discovery in Multi-agents Systems

Reputation has recently received considerable attention within a number of disciplines such as distributed artificial intelligence, economics, evolutionary biology, and among others. Most papers about reputation provide an intuitive approach to reputation which appeals to common experiences without clarifying whether their use of reputation is similar or different from those used by others. DF provides a Yellow Pages service. Agents in the FIPA-compliant agent system can provide services to others, and store these services in the DF of the multiagent system. However, existing DF cannot detect the fake service which is registered by malicious agent. So,a user may search these fault services. In this paper, we analyze the DFpsilas problem and propose the solution. We describe the Reputation mechanism for searching these fake services. Reputation function assumes the presence of other agent who can provide ratings for other agents that are reflective of the performance or behavior of the corresponding agents.