Chapter

Fusion Methodologies in Crisis Management

pp 121-133

A Multi-Agent Context-Management System for RECON Intelligence Analysis

  • Alexis MorrisAffiliated withFaculty of Computer Science, University of New Brunswick Email author 
  • , William RossAffiliated withFaculty of Computer Science, University of New Brunswick
  • , Mihaela UlieruAffiliated withSchool of Information Technology, Carleton University

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Abstract

Adaptive systems require technologies to enable high synchronicity between its users and their unfolding situation dynamics, in concert with system response actions. To be effective, a multi-dimensional view of context must be considered and incorporated. This work advances the development of such a system for RECON, an initiative to support intelligence analysts with a novel context-management and case-based recommendation capability. The central concepts involved in the management of explicit and implicit contexts are presented and are developed into a novel multi-agent approach. In particular a new context-sensitive cognitive model and a community of expert service-oriented agents are proposed to facilitate and improve system adaptations to user-specific, situational, and system states. These designs pave the way towards future developments and experiments in improving human–machine interaction with adaptive context-management systems.