Inproceedings,

MAGiC : Multi-Agent Planning using Grid Computing concepts

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12th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Montreal, (2014)

Abstract

This paper presents a distributed planning approach which is able to produce a plan with minimum communication among the agents of the team. We developed a fusion planner which considers the limitations of distributed and centralized planning. Principally, a central agent distributes tasks among multiple agents to solve a problem in reduced search space compared to centralized planner. Moreover, the designed planner requires lesser communication than a distributed planner among multiple agents. We perform evaluation on NASA's Mars Rover domain and compare the proposed planner with similar ones. A general conclusion is that the planning process for a team of agents can be improved compared to the state of the art approaches by up to 46.4% faster and 98.2% lesser messages.

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