Distributed Biosurveillance Systems Using Sensible Agent Technology to Improve Coordination and Communication Among Decision-Makers

Abstract

Protecting the population from chemical-biological attacks and outbreaks of infectious disease is a fundamental goal of health agencies, and early warning is critical for an effective response. However, such biosurveillance activities are inherently challenging due to the complexities involved in coordinating participants; determining the reliability of information; and drawing epidemiological conclusions. By applying Sensible Agent (SA) multi-agent system (MAS) technology to the biosurveillance domain, we can reduce the burden on the TDH epidemiologist by distributing and coordinating decision-making, as well as help the TDH manage the uncertainty of incoming data and understand how that uncertainty impacts resulting epidemiological assessments.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA449751

Entities

People

  • David C. Han
  • Dung Lam
  • Jisun Park
  • Joonoo Kim
  • K. S. Barber
  • Karen Fullam
  • Marcelo Vanzin
  • Ryan M. Mckay
  • Thomas J. Graser

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Agent-Based Simulations
  • Data Acquisition
  • Detection
  • Diseases And Disorders
  • Engineering
  • Hospitals
  • Infectious Diseases
  • Military Research
  • Monitoring
  • Multiagent Systems
  • Numbers
  • Reliability
  • Simulations
  • Test And Evaluation
  • Uncertainty

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Infectious Disease/Epidemiology
  • Systems Analysis and Design

Technology Areas

  • Biotechnology