NDLI: Intelligent agents in a goal finding application for homeland security

Content Provider	IEEE Xplore Digital Library
Author	Sharma, S. Otunba, S. Ogunlana, K. Tripathy, T.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science, Bowie State University, MD 20715, USA (Sharma, S.; Otunba, S.; Ogunlana, K.; Tripathy, T.)
Abstract	Orderly and efficient evacuations are the key in saving lives and are of considerable interest to homeland security. There has been a considerable interest in simulation of intelligent agent behavior in the context of agent based modeling. This paper combines Genetic Algorithm (GA) with Neural Networks (NN) to explore how intelligent agents can look for exits during an evacuation. The agents have the capability to adapt their behavior in the environment and formulate their response by learning from the environment. Our approach focuses on modeling individual behavior as well as group behavior. Individuals constantly adjust their behavior according to the dynamic factors in the environment. We are developing crowdmodeling and emergency behavior modeling capability in a goal finding application. This paper examines an intelligent agentbased evacuation that can help plan emergency evacuations, run numerous event-driven evacuation scenarios, support research in the areas of human behavior, and model the movement of responders and security personnel. The result of this simulation was very promising as we are able to observe the agents use GA and NN to learn how to find the various exits.
Starting Page	1
Ending Page	5
File Size	504566
Page Count	5
File Format	PDF
ISBN	9781467313742
ISSN	1558058X
e-ISBN	9781467313759
DOI	10.1109/SECon.2012.6197067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Intelligent agents Humans Genetic algorithms Force Biological neural networks Object oriented modeling disaster management emergency evacuation scenario-based simulation agent-based evacuation intelligent agents
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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