On Some Issues Concerning Optimization and Decision Trees.
Abstract
The authors describe the context and the constituent modules of a large-scale programming system, the Quasi-Optimizer. Its objectives are (a) 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; (b) to identify strategy components, evaluate their effectiveness and to select the most satisfactory ones from a set of descriptive theories; (c) to combine these components in a quasi-optimum strategy that represents a normative theory in the statistical sense. Also discussed are certain properties of decision trees which are the primary representational structures of strategies in the computer. The verification of these properties, such as identity, equivalence and similarity between two decision subtrees, enable us to eliminate redundancies in the decision trees.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1983
- Accession Number
- ADA134109
Entities
People
- Michael S. Belofsky
- Nicholas V. Findler
- Timothy W. Bickmore
Organizations
- Arizona State University