Institute for Software Research International
School of Computer Science, Carnegie Mellon University
BioWar: A City-Scale Multi-Agent Network Model of Weaponized
Kathleen M. Carley, Neal Altman, Boris Kaminsky,
Démian Nave,Alex Yahja
Institute for Software Research International (ISRI)
Center for Computational Analaysis of Social and Organizational Systems (CASOS)
Keywords: Bioterrorism, multi-agent modeling, social network, dynamic network analysis, syndromic surveillance, behavioral surveillance.
BioWar is scalable city-wide simulation, capable of simultaneously
simulating the impact of background diseases, natural outbreaks and
bioterrorism attacks on the population s behavior within a city.
The multi-agent simulator includes social and institutional networks,
weather and climate conditions, and the physical, economical,
technological, communication, health, and governmental infrastructures
which modulate disease outbreaks and individual behavior. Individual
behaviors include health seeking, entertainment and work/school behavior.
A wide variety of reports are generated based on user needs including
absenteeism patterns, pharmaceutical purchases, doctor s office
insurance claims reports, and hospital/emergency room reports.
Sub-reports are available for specific sentinel groups including
military personnel, first responders and health workers. Reports
matching real world data streams and reports can be created for
analyst or public health personnel including appropriate delays
in generating said reports. This paper provides an overview of
BioWar's current capabilities and information on the algorithms
and data used to drive the simulation as of the Challenge 5 (C5) version.