Integrating Uncertainty Handling Formalisms in Distributed Artificial Intelligence

In distributed arti cial intelligence systems it is important that the constituent intelligent systems communicate This may be a problem if the systems use di erent methods to represent uncertain in formation This paper presents a method that enables systems that use di erent uncertainty handling formalisms to qualitatively integrate their uncertain information and argues that this makes it possible for dis tributed intelligent systems to achieve tasks that would otherwise be beyond them