A Distributed Hypothesis-Testing Team Decision Problem with Communications Cost,

Abstract

This paper formulates and solves a distributed binary hypothesis-testing problem. The authors consider a cooperative team that consists of two decision makers (DM's); one is referred to as the primary DM and the other as the consulting DM. The team objective is to carry out binary hypothesis testing based upon uncertain measurements. The primary DM can declare his decision based only on its own measurements; however, in ambiguous situations the primary DM can ask the consulting DM for an opinion and it incurs a communications cost. Then the consulting DM transmits either a definite recommendation or pleads ignorance. The primary DM has the responsibility of making a final definitive decision. The team objective is the minimization of the probability of error, taking into account different costs for hypothesis misclassification and communication costs. Numerical results are included to demonstrate the dependence of the different decision thresholds on the problem parameters, including different perceptions of the prior information. Keywords: Numerical analysis; and Charts. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1986
Accession Number
ADA166814

Entities

People

  • Jason Papastayrou
  • Michael Athans

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Attack Submarines
  • Buildings And Structures
  • Case Studies
  • Command And Control
  • Computer Science
  • Data Fusion
  • Detection
  • Detectors
  • Hypotheses
  • Information Processing
  • Measurement
  • Numerical Analysis
  • Probability
  • Sensor Networks
  • Submarine Warfare
  • Submarines
  • Target Detection

Readers

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