The Dynamics of Information Fusion: Synthetic Versus Misassociation

Abstract

Fusion entails both the association and synthesis of information. If misassociations occur, they obviously undermine the gains won by synthesis, compromising the fusion product. An analytic framework is presented here to study the competition between the negative effect of misassociations and the positive effect of synthesis, to demonstrate and analyze their interplay quantitatively. Here the quality of information being enhanced or degraded is taken to be the extent to which the information correctly determines a decision or action inference. To say that the uncertainty injected by misassociation may overwhelm the uncertainty reduction won by synthesis, for instance, would mean that this inference-determining quality of information falls in fusion below that of the best information source working independently. This is ultimately a study in uncertainty dynamics: the beneficial reduction of uncertainty by synthesis in fusion versus the detrimental increase of uncertainty due to association, which are both always present in fusion to some degree.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2006
Accession Number
ADA454749

Entities

People

  • Ronald T. Kessel

Organizations

  • Centre for Maritime Research and Experimentation

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Databases
  • Detection
  • Detectors
  • Dynamics
  • Engineering
  • Expert Systems
  • Frequency
  • Information Theory
  • Maritime Security
  • Monte Carlo Method
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Reliability
  • Surveillance

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Strategic Security Studies

Technology Areas

  • AI & ML