Abstract
Under the difficult circumstances such as catastrophic terrorism, emergency rescue and assistance planning (ERAP) always involves complex sets of objectives and constraints. We propose a multi-agent constraint programming framework which is aimed to tackling complex operations problems during the emergency response processes. The framework employs the component-based agent model to support ERAP problem specification, solving, composition/decomposition, feedback and dynamic control. A typical emergency response system is composed of seven types of top-level agents, which are further composed of sub-agents at lower levels of granularity. In particular, agents that play key roles in task control and problem solving are based on asynchronous team (A-Team) in which sub-agents share a population and evolve an optimized set of solutions. A case study is presented to illustrate our approach.
Supported in part by grants from NNSF (No. 60573080) and NGFR 973 Program (No. 2003CCA02800) of China.
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Zheng, Y., Wang, J., Xue, J. (2007). Agent Based Framework for Emergency Rescue and Assistance Planning. In: Yang, C.C., et al. Intelligence and Security Informatics. PAISI 2007. Lecture Notes in Computer Science, vol 4430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71549-8_6
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DOI: https://doi.org/10.1007/978-3-540-71549-8_6
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