A Conceptual Framework and a Heuristic Program for the Credit Assignment Problem.

Abstract

The authors interpret the task of credit assignment as the ability of a system: to identify and distinguish strategy components; to associate with such components; in different regions of the domain of confrontation, good and poor outcomes of a sequence of actions prescribed by the strategy; to improve the boundaries of these regions in minimizing the errors of misclassification of strategy actions; to estimate the overall quality of a strategy being the sum of the qualities of strategy components weighted by the probabilities of employing them; and to provide information for a meta-strategy that shifts the domain of confrontation to those regions in which the strategy studied is most proficient and, thereby, raises the effective quality of the strategy. The paper describes the program QO-4 -- the fourth module of a large system, the Quasi-Optimizer -- which can accomplish the above tasks within certain limitations.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1983
Accession Number
ADA127367

Entities

People

  • Bede B. Mccall
  • Nicholas V. Findler

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Computational Complexity
  • Computer Science
  • Computers
  • Environment
  • Experimental Design
  • Information Science
  • Learning
  • Mathematics
  • Probability
  • Probability Distributions
  • Sequences
  • Universities

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