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Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 692-696
ABSTRACT
Suddenly fall of unexpected disasters cause serious damage and casualties to our society.   In order to minimize damage, search and rescue tasks   should be carried out immediately after the disasters.   This paper introduces an entropy based search model to RoboCup Rescue Agent Simulation System   which enables our search agents to find victims   as early as possible. Key point of this proposed model lies in how to determine sequences of search targets from various candidate locations at each   simulation step. Detailed illustration is then given to solve this key point using entropy based method.   As for agent coordination, commonly used partition method is adopted to eliminate conflicts between agents.   Simulation result validates this model when compared to random search and thus offers certain reference   to real disaster emergencies.
CITATION
Qingfa Meng, Yingqiu Xu, Yingzi Tan, "Entropy-Based Victim Search in RoboCup Rescue Agent Simulation", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 692-696, doi:10.1109/CSIE.2009.659
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