Summary
The problem of finding metric strategies for decisions in which it is not possible to define mathematically the risks connected with the decision is a methodical problem. We must first know something about the laws of probability governing actual decisions of a big group of individuals. A theoretical basis for empirical tests is given in this paper. In the first part the structure of a probability-automaton is defined, which besides the applicability to decision processes may have also applications to formal neuron theory. The second part shows the use of the automaton for decision processes.
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Richard, T. Zur mathematischen Behandlung des Entscheidungsprozesses. Kybernetik 1, 131–138 (1962). https://doi.org/10.1007/BF00289032
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DOI: https://doi.org/10.1007/BF00289032