Title :
A Stigmergy-Based Model for Solving Cooperative Pursuit-Evasion Games in Unknown Environments
Author :
Fan, Li ; Dasgupta, Prithviraj
Author_Institution :
Comput. Sci. Dept., Univ. of Nebraska, Omaha, NE
Abstract :
We describe our preliminary results for a novel emergent algorithm inspired by the phenomenon of stigmergy in insect colonies, to solve the n-collaborative pursuit-evasion game. Our initial results with different numbers of pursuers and evaders in a scenario simulated within the Webots environment, illustrate that pursuers using our emergent algorithm are able to detect different number of evaders with reasonable accuracy in various settings.
Keywords :
game theory; mobile robots; autonomous robotic pursuers; cooperative pursuit-evasion game solving; homeland security application; robotic application; stigmergy-based model; unmanned search and rescue; visual signature; Application software; Cameras; Computer science; Electronic mail; Image storage; Insects; Mobile computing; Robots; Terrorism; USA Councils;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems, 2008. SASO '08. Second IEEE International Conference on
Conference_Location :
Venezia
Print_ISBN :
978-0-7695-3404-6
DOI :
10.1109/SASO.2008.72
