Presentation 2006/1/6
Task Allocation for Heterogeneous Agents in RoboCup Rescue Simulation
JUN UEHARA, DAISUKE KATAGAMI, KATSUMI NITTA,
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Abstract(in English) In the RoboCup Rescue simulation environment, when fire tasks will be allcoated to FireBrigade agents, a exact cost estimation is required. However, this cost is greatly affected by PoliceForce agents, so the dependency between heterogeneous agents have to be considered for task allocation. We propose task allocation approach taking into account the dependency by using two-stage Contract Net protocol. In this approach, if FireBrigade agents need help of PoliceForce agents to perform a fire task, FireBrigade's cost in bids for the task are modified, and search extinguishable combinations of agents. Then, winning bidders who will get a task be decided from those combinations. In this paper, we show result of evaluating our approach performance in the experiment of fire tasks allocation.
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Paper # AI2005-31
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Committee AI
Conference Date 2006/1/6(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
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Title (in English) Task Allocation for Heterogeneous Agents in RoboCup Rescue Simulation
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1st Author's Name JUN UEHARA
1st Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology()
2nd Author's Name DAISUKE KATAGAMI
2nd Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
3rd Author's Name KATSUMI NITTA
3rd Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Date 2006/1/6
Paper # AI2005-31
Volume (vol) vol.105
Number (no) 510
Page pp.pp.-
#Pages 6
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