From decision making under uncertainty to game theory

Peter P. Wakker · UvA-DARE (University of Amsterdam) · 1987

This paper presents several new results for game theory. The results have in common that they have been obtained from the literature on (probability theory and) decision making under uncertainty by simple translation algorithms, mainly by replacing "state of nature" by "player." The aim of this paper is to show the usefulness of such translation algorithms.

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