Using agent-based simulation to empirically examine search theory using a historical case study

Threats to a nation's resources and forces are becoming increasingly lethal and mobile. Therefore, the ability to locate and interdict these threats is more important than ever. Search theory was developed during World War II (WWII), but remains an analytical tool vital to locating and counteri...

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Bibliographic Details
Published in:Journal of simulation : JOS Vol. 1; no. 1; pp. 29 - 38
Main Authors: Hill, R R, Carl, R G, Champagne, L E
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 01.12.2006
Taylor & Francis Ltd
Subjects:
agent models
Aircraft
Boats
Case studies
Evacuations & rescues
Operations research
Search Theory
Simulation
Submarines
validation
ISSN:1747-7778, 1747-7786
Online Access:Get full text
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Summary:Threats to a nation's resources and forces are becoming increasingly lethal and mobile. Therefore, the ability to locate and interdict these threats is more important than ever. Search theory was developed during World War II (WWII), but remains an analytical tool vital to locating and countering the increasing threat. This paper presents results that demonstrate how simulation can be used to extend the analytical results of classic Search Theory. This paper presents a multi-agent simulation, built in the Java object-oriented programming language, and based on the Allied search for U-boats in the Bay of Biscay during WWII. Key components of the model are validated against historical data using statistical methods. The model is then used to empirically examine the utility of various modern search patterns particularly when rigid Search Theory assumptions are relaxed.
Bibliography:ObjectType-Case Study-2
SourceType-Scholarly Journals-1
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ObjectType-Report-1
ObjectType-Article-3
ISSN:1747-7778
1747-7786
DOI:10.1057/palgrave.jos.4250003