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<p>A survey is given which focuses on research issues involving strategic planning and artificial intelligence (AI), including the nature of the formulation task, cognitive studies of strategic planners and computer-based support for strategic planning. The author reviews the research to date, and argues that, like traditional decision support systems (DSS) research, much of the potential for future research in this area lies in modeling the ill-structured, early stages of the strategic decision making process namely, the strategic intelligence analysis and the issue diagnosis. Therefore, he discusses a specific model-based approach to the study of these early stages. Research in artificial intelligence-including investigations into diagnosis and situation assessment, analogical reasoning, plan recognition, nonmonotonic reasoning and distributed intelligence, among others-can be used to build models of strategic decision making that help researchers in better understanding this traditionally unstructured activity.</p>
research issues; strategic planning; artificial intelligence; formulation task; cognitive studies; strategic planners; computer-based support; decision support systems; future research; strategic decision making process; strategic intelligence analysis; issue diagnosis; model-based approach; situation assessment; analogical reasoning; plan recognition; nonmonotonic reasoning; distributed intelligence; decision support systems; decision theory; inference mechanisms; knowledge based systems
W.E. Spangler, "The Role of Artificial Intelligence in Understanding the Strategic Decision-Making Process", IEEE Transactions on Knowledge & Data Engineering, vol. 3, no. , pp. 149-159, June 1991, doi:10.1109/69.87995
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