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Managing multi-expertise in design of effective cooperative knowledge-based system

Most branches of computer science research are already involved in working rewards collaborative problem solving. In AI, the two fields of knowledge acquisition and distributed AI play a major role. The construction of collaborative knowledge-based systems (cooperative KBSs) needs an important stage of knowledge acquisition from the experts involved in the group activity. On the other hand, distributed AI and multi-agent systems are merely concerned with cooperative KBSs since they investigate some related problem and enable distributed modeling. However, not much work has been done on modeling multi-expertise. Moreover, there is a low level of exchange between these two fields. In this paper, we propose an agent-based method for multiple-expert knowledge engineering. This method is based on a set of generic models, which serves as a template to the knowledge engineer. Experts are described as a society of interacting cognitive agents.