Models of Information Aggregation Pertaining to Combat Identification: A Review of the Literature (Modele du Regroupement de L'information Concernant L'identification au Combat: Une Analyse Documentaire)

Abstract

This report reviews research literature pertaining to models of human information aggregation in order to apply them, when possible, to combat identification (CID) decisions made by individuals in a land force context. In particular, the review examined social science, science and military literature to identify principles and theories associated with how human decision makers weigh and integrate information. The review identified a variety of heuristics and cognitive biases associated with these processes, along with formal and informal models of combining qualitative and quantitative information. The report presents current conceptualizations of combat identification and places it within the context of cue based decision making under the intuitive decision framework. By framing this complex decision we were able to evaluate the applicability of the methods of aggregation to the CID task.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA482371

Entities

People

  • Julie Famewo
  • Michael Matthews
  • Tab Lamoureux

Organizations

  • HumanSystems Incorporated

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Bayesian Networks
  • Cognition
  • Computational Science
  • Identification
  • Information Science
  • Judgment
  • Military Research
  • Personnel Management
  • Political Science
  • Probability
  • Psychology
  • Recreation
  • Security
  • Situational Awareness
  • Social Sciences
  • Students

Readers

  • Small Business Innovation Research Program (SBIR) EDI Research and Innovation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.