Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism

Liping Zhu, Song Ju Kim, Masahiko Hara, Masashi Aono

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Choosing a better move correctly and quickly is a fundamental skill of living organisms that corresponds to solving a computationally demanding problem. A unicellular plasmodium of Physarum polycephalum searches for a solution to the travelling salesman problem (TSP) by changing its shape to minimize the risk of being exposed to aversive light stimuli. In our previous studies, we reported the results on the eight-city TSP solution. In this study, we show that the time taken by plasmodium to find a reasonably high-quality TSP solution grows linearly as the problem size increases from four to eight. Interestingly, the quality of the solution does not degrade despite the explosive expansion of the search space. Formulating a computational model, we show that the linear-time solution can be achieved if the intrinsic dynamics could allocate intracellular resources to grow the plasmodium terminals with a constant rate, even while responding to the stimuli. These results may lead to the development of novel analogue computers enabling approximate solutions of complex optimization problems in linear time.

Original languageEnglish
Article number180396
JournalRoyal Society Open Science
Volume5
Issue number12
DOIs
Publication statusPublished - 2018 Dec 1

Keywords

  • Amoeba computing
  • Bioinspired computing
  • Natural computing
  • Physarum
  • Travelling salesman problem

ASJC Scopus subject areas

  • General

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