Hypothesis Refinement: Building Hypotheses in Intelligent Agent System
Résumé
This paper deals with distributed hypothesis formation in an intelligent agent system, where individual agents communicate together to overcome the incompleteness of their own observations. We present a Hypothesis Refinement framework encompassing a variety of individual hypothesis formation processes, and formalize the problem of building adequate hypotheses when data are distributed. Then, some communication protocols are proposed to let agents build proper hypotheses by confronting them to other agents in the system. At last, we give a methodology to adapt this framework to specific applications, and illustrate it with an example application in which agents attempt to flee from a building in which a fire has erupted.