2021
DOI: 10.48550/arxiv.2103.00172
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A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications

Abstract: In recent years, research on Physarum polycephalum has become more popular after Nakagaki et al. (2000) performed their famous experiment showing that Physarum was able to find the shortest route through a maze. Subsequent researches have confirmed the ability of Physarum-inspired algorithms to solve a wide range of NP-hard problems. This review will through light on recent Physarum polycephalum biological aspects, mathematical models, and Physarum bio-inspired algorithms and their applications. Further, we ha… Show more

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“…Second, despite being unicellular, acellular slime moulds can produce seemingly complex behaviours. Indeed, since the seminal contribution of Toshiyuki Nakagaki and colleagues more than 20 years ago [33], P. polycephalum has become an essential model organism for studying problem-solving in non-neural systems [32][33][34][35][36][37]. Past experiments have shown that acellular slime moulds can find the shortest path in a maze [33,38], build optimized networks to connect several food sources [34], anticipate events [39], learn to ignore irrelevant stimuli [40,41], encode memory in their environment [42] or in their morphology [43], interact with their congeners [21,44], optimize nutrient intake [28,45], make optimal decisions [27,29,46], etc.…”
Section: Introductionmentioning
confidence: 99%
“…Second, despite being unicellular, acellular slime moulds can produce seemingly complex behaviours. Indeed, since the seminal contribution of Toshiyuki Nakagaki and colleagues more than 20 years ago [33], P. polycephalum has become an essential model organism for studying problem-solving in non-neural systems [32][33][34][35][36][37]. Past experiments have shown that acellular slime moulds can find the shortest path in a maze [33,38], build optimized networks to connect several food sources [34], anticipate events [39], learn to ignore irrelevant stimuli [40,41], encode memory in their environment [42] or in their morphology [43], interact with their congeners [21,44], optimize nutrient intake [28,45], make optimal decisions [27,29,46], etc.…”
Section: Introductionmentioning
confidence: 99%