Game Theory in the Social Sciences: Concepts and Solutions by Martin Shubik

By Martin Shubik

This ebook by way of a famous authority on video game conception and its purposes introduces social scientists in quite a few disciplines to this robust method.

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W. (1997). Decision making in dynamic task environments. In R. Ranyard, R. W. Crozier & O. ) Decision making: Cognitive models and explanations (pp. 205–217). New York, NY: Routledge. Keys, J. B. & Wolfe, J. (1990). The role of management games and simulations in education and research. Journal of Management, 16, 307–336. Kleinmuntz, D. (1985). Cognitive heuristics and feedback in a dynamic decision environment. Management Science, 31, 680–701. Kleinmuntz, D. & Thomas, J. (1987). The value of action and inference in dynamic decision making.

Tables 3 and 4 provide the five most crucial nodes identified by novices and experts in response to one of the medical scenarios. Both experts and novices had evidence as critical, but the quantified results of medical tests were the most critical node for experts whereas the qualitative analysis of the patient’s illness was the most critical node for non-experts. It should be noted that the medical novices (non-experts) were interns. In the other domains, the novices or non-experts were upper division university students majoring in engineering or biology.

To this end, more dynamic handling of uncertainty is required to support responsive decision making on ways to deal with uncertainty. 2. Literature Review Murthy and Ma (1991) found that the nature of MRP/ERP has driven researchers towards the quantity and timing decisions inherent in the systems. Little research has been identified that addresses the implications of uncertainty; rather the result of this trend is that many buffering, dampening and smoothing techniques have been examined to cope with quantity and timing uncertainties.

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