Decisionmaking for Antisubmarine Warfare Commanders.

Abstract

The primary goal of last year's effort was to model high-level decision-making for antisubmarine warfare commanders. To abet this modeling effort, the SHOR paradigm was presented as a structure for analyzing human cognitive decisionmaking. The commander's decisionmaking process was cast in the SHOR framework. A Bayesian mathematical model of the decisionmaker's hypothesis evaluation procedure was developed. The inputs to the model were the hypotheses and sensor data, and its outputs were the posterior probabilities of the hypotheses' being true and their respective states of nature. It was thought that these outputs would be sufficient for the commander to perform the option generation and evaluation activities. A further delineation of the decisionmaking process of the antisubmarine warfare commander and subsequent model is underway. The modeling effort is partitioned into three major modules: environmental driver, situation assessment, and resource management. Work on the environmental driver is almost complete. Descriptions of the latter two modules represent details of intended development.

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Document Details

Document Type
Technical Report
Publication Date
Feb 16, 1983
Accession Number
ADA133476

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Antisubmarine Warfare
  • Attack Submarines
  • Data Association
  • Data Science
  • Detection
  • Detectors
  • Information Science
  • Kalman Filtering
  • Mathematical Models
  • Models
  • Passive Sonar
  • Probability
  • Resource Management
  • Statistics
  • Test And Evaluation
  • Warfare

Readers

  • Statistical inference.
  • Strategic Security Studies
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy