Fuzzy Mediation for Online Learning in Autonomous Agents

Giovanni Vincenti, Goran Trajkovski

Information fusion is a field that deals with merging multiple inputs to create a single output. Several fusion mechanisms are in place, but none can be easily adapted to accommodate for online learning using a simulator. This paper analyzes the concept of fuzzy mediation as a novel approach to the creation of a framework through simulations of controllers interacting with a controllable object. We propose this new algorithm as a mean to improved methods of learning through positive reinforcement, observation, and direct interaction with the object to be controlled.

Subjects: 7.1 Multi-Agent Systems; 4. Cognitive Modeling

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