Coop: a shell for cooperating expert systems

Conventional expert system shells do not help in developing AI programs for large applications which require multidisciplinary knowledge and which are geographically distributed. To support these applications, a shell must provide tools for a knowledge based system to (1) reason about the need for cooperation, (2) understand global knowledge in order to locate relevant expert systems, and (3) select appropriate cooperation plans. Coop, which supports cooperation models for characterizing the three essential decisions in the cooperation process, is described. It provides a computational method for deciding whether an expert system has enough knowledge to solve a given problem or whether it needs to consult with other expert systems. A yellow pages technique is provided to represent global knowledge and to select appropriate cooperation plans. The Coop environment lets expert systems autonomously resolve the three fundamental decisions in cooperation at runtime. The Coop environment also provides tools for resolving distributed computing issues of initiating and controlling process groups on a network, monitoring the state of distributed computation, and support tools needed to implement a large AI program consisting of multiple knowledge bases and expert system processes