On Automatic Generation of Descriptive and Normative Theories.
ARIZONA STATE UNIV TEMPE GROUP FOR COMPUTER STUDIES OF STRATEGIES
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This paper discusses a large-scale programming system, the Quasi-Optimizer QO, that has four major objectives 1 to observe and measure adversaries behavior in a competitive environment, to infer their strategies and to construct a computer model, a descriptive theory, of each 2 to identify strategy components, evaluate their effectiveness and to select the most satisfactory ones from a set of computed descriptive theories 3 to combine these components in a quasi-optimum strategy that represents a normative theory in the statistical sense and 4 to provide information as to in which regions a given strategy is most proficient, to a meta-strategy. It will then shift the domain of confrontations between the strategy and its adversaries to the regions specified and, thereby, increase the effective quality of the strategy. Author
- Statistics and Probability
- Computer Programming and Software