Decision making in complex environments under conditions of high cognitive loading: A personal expert systems approach

摘要

In this article, the problem of decision making in a prototypical complex decision environment is cast into the conceptual framework of large-scale systemstheory. The problem of the lead decision maker within a decision team is described and an operational model is given. It is pointed out that this primarily real intelligence-only decision team is both knowlegable and adaptive, but not as reliable as might be required under conditions of high cognitive loading. An artificial intelligence-based decision components, the “trusted assistant”,is the proposed as a means of achieving a more effective intelligence balance within the system. The primarily structural features of this personal expert system are presented and considerations involved in incorporating it into present-day large-scale decision systems are discussed. It is shown that in many instances this trusted assistant can play a distinctly novel and vital role in the decision making process.