Dynamics of Information in Distributed Decision Systems

Abstract

This paper considers distributed decision systems examplified by subdivisions competing for corporate resources. Corporate coordinators oversee the otherwise independent activities of the subdivisions by setting prices (or premiums) on the resources. Taking such prices into account, subdivisional planners submit proposals which will be weighed by the coordinators who then may adjust the prices. If equilibrium prices can be established, an optimal allocation of the resources will be made by the coordinators. The behavior of this decision process is greatly affected by the manner in which information is communicated among the parties involved. We discuss four classes of information schemes and study the dynamics of information involved. It is shown that the overall effectiveness of any scheme depends on behavioral patterns of the interacting agents and that no single scheme can be universally superior. However, it may be possible to identify favorable schemes for specific decision systems by observing patterns in the behavior of the coordinators and the planners. Keywords: Information management; Parallel processing; Linear programming decomposition.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA216213

Entities

People

  • James K. Ho
  • Tak C. Lee

Organizations

  • University of Tennessee

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Business Administration
  • Case Studies
  • Computations
  • Computer Programming
  • Decomposition
  • Demographic Cohorts
  • Information Processing
  • Information Science
  • Linear Programming
  • Mathematical Programming
  • Operations Research
  • Organizational Structure
  • Parallel Computing
  • Parallel Processing
  • Simplex Method
  • Universities

Fields of Study

  • Mathematics

Readers

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  • Life Cycle Cost Analysis
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.