Contextual Models of Information Fusion

Abstract

The core research objective of this project is to determine how observations with different types of associated uncertainty can be combined such that: 1. uncertainty is suitably assigned numerically to evidence 2. the level of trust in or reliance on a given data source or piece of data is adequately represented This project leveraged developments in the field of quantum information science in order to provide a principled theoretical framework and associated operational modelling language for determining if and then how combination of observations is possible. The key quantum concept being leveraged is contextuality. When decisions of trust are contextual, then a single joint probability distribution cannot be formed to model the decision making process. This impacts standard probabilistic models of information fusion which assume that the joint distribution can always be formed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 2022
Accession Number
AD1183675

Entities

People

  • Jerome Busemeyer
  • Peter David Bruza

Organizations

  • Queensland University of Technology

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Bayesian Networks
  • Cognitive Science
  • Experimental Design
  • Information Processing
  • Information Science
  • Language
  • Military Research
  • Models
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Programming Languages
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Quantum Mechanics
  • Standards
  • Universities

Readers

  • Artificial Intelligence
  • Joint Military Operations and Doctrine.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing