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New Information Technologies for Crisis Operations

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-05-C-0222
Agency Tracking Number: F041-112-2096
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF04-112
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-07-26
Award End Date (Contract End Date): 2007-07-26
Small Business Information
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Leonard Haynes
 President
 (301) 294-5250
 lhaynes@i-a-i.com
Business Contact
 Mark James
Title: Contracts and Proposals M
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract

Simulation results can indicate options available to deal with crises, and can support ‘what-if’ investigations in advance of an actual crisis, provided the simulation models incorporate correct underlying science. This proposal follows an initial Phase I effort in which we developed Cognitive Pedestrian software agents that incorporate physical, emotional, and rational aspects of behavior. Results include: (1) recovery of emergent behavior typical for crowd motion, (2) reasonable behavior of both fearful and curious Cognitive Pedestrian agents as they encounter a fire hazard, and (3) break-up of crowds due to the use of physical barriers. In Phase II, the Cognitive Pedestrian agents will be enhanced in a principled manner to include an explicit framework for introducing epistemological beliefs. This will allow Cognitive Pedestrian agents to model individuals holding beliefs arising from diverse cultural norms. The (sub)-cognitive capability of way-finding will also be an enhancement to the agent capability. In Phase II, a scenario that is operationally relevant to the Air Force will be the simulated. The results will be validated, using metrics obtained from subject matter experts. Through this effort, an agent-based simulation framework, with supporting libraries, will be developed; providing the capability of simulating additional scenarios using Cognitive Pedestrian agents.

* Information listed above is at the time of submission. *

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