Information Evaluation: Discussion about STANAG 2022 Recommendations

Abstract

An important step in the intelligence gathering process is the fusion of information provided by multiple sources. The objective of this process is to build an up-to-date and correct view of the current situation on which to base adequate decision making. To succeed in this process, it is important to associate each available piece of information with characteristics like the number of sources that support it, their reliability, and the degree of truth of the information. Currently, these attributes are managed and fused by human operators, and there is no standard methodology for doing this. What is needed is computerized help. But before relaying this fusion process to a machine, one needs to develop formal definitions and algorithms to manage these attributes in addition to fusing information. Furthermore, in a context in which different systems exchange information, common definitions of these attributes have to be shared. The Standardization Agreements (STANAG) 2022 of the North Atlantic Treaty Organization (NATO) define a framework for common definitions. This paper reviews the STANAG 2022 recommendations on information evaluation, particularly the criteria for reliability and credibility, and then analyzes different evaluation concepts, including reliability, independence, and conflict. The paper then presents a formal model of information evaluation that attempts to be unambiguous. Twenty-nine briefing charts summarize the presentation. (8 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA428653

Entities

People

  • Laurence Cholvy
  • Vincent Nimier

Organizations

  • Office National d'Études et de Recherches Aérospatiales

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Automatic
  • Czech Republic
  • Data Fusion
  • Helicopters
  • Information Systems
  • Intelligence Collection
  • Language
  • Logic
  • Mathematical Logic
  • Mathematical Models
  • Models
  • Nato
  • Natural Languages
  • Probability
  • Ratings
  • Reliability
  • Test And Evaluation

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.
  • Systems Analysis and Design