A HYBRID DIAGNOSTIC-RECOMMENDATION SYSTEM FOR AGENT EXECUTION IN MULTI-AGENT SYSTEMS

Open multi-agent systems are societies with autonomous and heterogeneous agents that can work together to achieve similar or different goals. Agents executing in such systems may not be able to achieve their goals due to failures during system execution. This paper’s main goals are to understand why such failures occurred and what can be done to remediate the problem. The distributed, dynamic and open nature of multi-agent systems calls for a new form of failure handling approach to address its unique requirements, which involves both diagnosing specific failures and recommending alternative plans for successful agent execution and goal attainment. In this paper, we discuss solutions to the main challenges of creating a system that can perform diagnoses and provide recommendations about agent executions to support goal attainment, and propose a hybrid diagnostic-recommendation framework that provides support for methods to address such challenges.