A knowledge representation paradigm for multiple expert systems

The expert system technology has grown to a level where expertise of single expert is found inadequate to tackle complex problems. Recently the focus of research has now been oriented towards methodologies in which several expert systems can cooperate and communicate for solving common complex problems. This paper investigates a knowledge representation paradigm for building multiple expert systems. The main features of the proposed methodology include blackboard architecture, control engine and meta knowledge. The objective of the system is to acquire the knowledge from one or more domains and put it at workplace of appropriate expert system. The system is capable of conflict resolution, consistent advice and complex problem solving. In this paper, we illustrate a model, knowledge representation scheme and control inference.