Defence Applications of Agent-Based Information Fusion

Abstract

Information fusion and agent-based systems provide core capabilities in the NEC operational environment: uncertainty reduction and coordinated action. These are key enablers of situation assessment and effective resource allocation. In the military domain, uncertainty encompasses ambiguity and incompleteness, requiring flexible information fusion algorithms. Results and analysis are presented here for a Bayesian consensus algorithm applied to fault recovery in a sensor network, where some of the sensor fault types are unknown. The need for coordination raises architectural questions about where coordination is done and about its information exchange requirements. Two options are analysed: distributed coordination in which nodes establish shared situation awareness and run replicated central coordination algorithms, and decentralised agent-based coordination which is based on a market-based control representation. Decentralised coordination is shown to be more responsive than distributed coordination in sparsely connected networks with delays.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA564409

Entities

People

  • David Nicholson

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Communication Networks
  • Consensus Algorithms
  • Distance Learning
  • Environment
  • Information Exchange
  • Information Operations
  • Information Processing
  • Information Systems
  • Military Operations
  • Multiagent Systems
  • Networks
  • Recovery
  • Sensor Networks
  • Situational Awareness
  • Time Division Multiple Access

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Joint Military Operations and Doctrine.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms