Multi-agent real-time pursuit

Date

2010-07-01

Author

Undeger, Cagatay
Polat, Faruk

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, we address the problem of multi-agent pursuit in dynamic and partially observable environments, modeled as grid worlds; and present an algorithm called Multi-Agent Real-Time Pursuit (MAPS) for multiple predators to capture a moving prey cooperatively. MAPS introduces two new coordination strategies namely Blocking Escape Directions and Using Alternative Proposals, which help the predators waylay the possible escape directions of the prey in coordination. We compared our coordination strategies with the uncoordinated one against a prey controlled by Prey A*, and observed an impressive reduction in the number of moves to catch the prey.

Subject Keywords

Path planning, Real-time search, Multi-agent search, Real-time pursuit

URI

https://hdl.handle.net/11511/42956

Journal

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

DOI

https://doi.org/10.1007/s10458-009-9102-0

Collections

Department of Computer Engineering, Article

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Citation Formats

C. Undeger and F. Polat, “Multi-agent real-time pursuit,” AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, pp. 69–107, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42956.