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MH-FMAP: Alternating Global Heuristics in Multi-Agent Planning

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MH-FMAP: Alternating Global Heuristics in Multi-Agent Planning

Abstract

MH-FMAP is a fully-distributed Multi-Agent Planning system where each agent is designed as a forward-chaining partial-order planner. MH-FMAP applies a complete and suboptimal distributed A* search alternating two heuristic functions. This distributed nature enabled MH-FMAP to participate in the two tracks of the 2015 Competition of Distributed and Multiagent Planners.