NDLI: A new multi-agent system to simulate the foraging behaviors of Physarum

Content Provider	Springer Nature Link
Author	Liu, Yuxin Gao, Chao Zhang, Zili Wu, Yuheng Liang, Mingxin Tao, Li Lu, Yuxiao
Copyright Year	2015
Abstract	Physarum Polycephalum is a unicellular and multi-headed slime mold, which can form high efficient networks connecting spatially separated food sources in the process of foraging. Such adaptive networks exhibit a unique characteristic in which network length and fault tolerance are appropriately balanced. Based on the biological observations, the foraging process of Physarum demonstrates two self-organized behaviors, i.e., search and contraction. In this paper, these two behaviors are captured in a multi-agent system. Two types of agents and three transition rules are designed to imitate the search and the contraction behaviors of Physarum based on the necessary and the sufficient conditions of a self-organized computational system. Some simulations of foraging process are used to investigate the characteristics of our system. Experimental results show that our system can autonomously search for food sources and then converge to a stable solution, which replicates the foraging process of Physarum. Specially, a case study of maze problem is used to estimate the path-finding ability of the foraging behaviors of Physarum. What’s more, the model inspired by the foraging behaviors of Physarum is proposed to optimize meta-heuristic algorithms for solving optimization problems. Through comparing the optimized algorithms and the corresponding traditional algorithms, we have found that the optimization strategies have a higher computational performance than their corresponding traditional algorithms, which further justifies that the foraging behaviors of Physarum have a higher computational ability.
Starting Page	15
Ending Page	29
Page Count	15
File Format	PDF
ISSN	15677818
Journal	Natural Computing
Volume Number	16
Issue Number	1
e-ISSN	15729796
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-10-26
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Physarum Polycephalum Multi-agent system Self-organized computational system Maze Theory of Computation Evolutionary Biology Processor Architectures Artificial Intelligence (incl. Robotics) Complex Systems
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications

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