An abductive framework for information sharing in multi-agent systems

In this paper, we propose a framework for information exchange among abductive agents whose local knowledge bases are enlarged with a set of abduced hypotheses. We integrate the aspects of information exchange and abductive reasoning, and show theoretically the information inferred by the single abductive agent as a product of joint reasoning activity. We show examples, like dining philosophers, resource exchange and speculative computation, and give an implementation of the space of interactions based on CLP(SET).