Pilot Automated Influence Diagram Decision Aid.

Abstract

Influence diagrams were originally conceived as a way of visually representing dependencies among random variables. It was recognized that they provide an effective means of communicating probabilistic information in complex, uncertain situations. They were soon generalized to include decision as well as chance variables. An earlier SRI report, Development of Automated Aids for Decision Analysis (Miller, et al., May 1976), describing influence diagrams and showed that they are a more fundamental way of capturing uncertain decision situations than the commonly used decision tree methods. This recognition held the promise that they might provide a basis for more efficient modeling and solution of decision problems. The report reviews the fundamentals of influence diagrams (adapted from Miller et al.) It illustrates with an example of toxic chemical testing how an analyst might use an automated influence diagram system. A first such system was implemented on the IBM 5110 mini-computer. This work allowed the development of computational algorithms in the APL language. Small decision problems are within the capabilities of this system. This development established the feasibility of implementing a comprehensive influence diagram system on a larger machine. Such a system could greatly assist decision makers and decision analysts. The final sections of this report explore questions which arose out of our work. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA092129

Entities

People

  • James E. Matheson
  • Robert J. Korsan

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Behavioral Sciences
  • Biological Sciences
  • Command And Control
  • Control Systems
  • Engineering
  • Military Research
  • Political Science
  • Probability
  • Probability Distributions
  • Psychology
  • Random Variables
  • Social Sciences
  • Students
  • Systems Engineering
  • United States Military Academy
  • War Colleges

Readers

  • Computer Science.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.