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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Physarum-Inspired Multi-Agent System to Solve Maze
verfasst von : Yuxin Liu, Chao Gao, Yuheng Wu, Li Tao, Yuxiao Lu, Zili Zhang
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer International Publishing
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Physarum Polycephalum
is a primitive unicellular organism. Its foraging behavior demonstrates a unique feature to form a shortest path among food sources, which can be used to solve a maze. This paper proposes a
Physarum
-inspired multi-agent system to reveal the evolution of
Physarum
transportation networks. Two types of agents – one type for search and the other for convergence – are used in the proposed model, and three transition rules are identified to simulate the foraging behavior of
Physarum
. Based on the experiments conducted, the proposed multi-agent system can solve the two possible routes of maze, and exhibits the reconfiguration ability when cutting down one route. This indicates that the proposed system is a new way to reveal the intelligence of
Physarum
during the evolution process of its transportation networks.