On Automatic Generation of Descriptive and Normative Theories.
Abstract
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)
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1983
- Accession Number
- ADA129396
Entities
People
- Nicholas V. Findler
Organizations
- Arizona State University