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Activity Number:
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241
- Section on Statistics in Defense and National Security CPapers 1
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Type:
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Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Defense and National Security
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Abstract #323708
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View Presentation
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Title:
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Cooperative Search Strategies for Pursuing Adversarial Evaders
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Author(s):
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Nicholas Meyer* and Eric Laber and Robert Brigantic and Nick Kapur and Alyson Wilson and Casey Perkins and Samrat Chatterjee
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Companies:
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North Carolina State University and North Carolina State University and Pacific Northwest National Laboratory and North Carolina State University and North Carolina State University and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory
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Keywords:
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pursuit and evasion ;
cooperative decision making ;
adversarial games
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Abstract:
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The ability to catch an evasive adversary is vital to national security. Cooperation among search agents has the potential to reduce the time to capture. We formalize the pursuit of an adversary as a turn-based game evolving over space with multiple search agents and a single adversary. Search agents share information and receive intelligence from informants with unknown reliability. We develop an estimator of the optimal search strategy that minimizes time-to- capture. As data accrue, a flexible Bayesian model for the evader's location is updated. Using this model, we recommend a new location for each search agent via approximate dynamic programming. The proposed method is demonstrated through a series of simulation experiments.
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Authors who are presenting talks have a * after their name.
