Literature DB >> 14729281

Robust and emergent Physarum logical-computing.

Soichiro Tsuda1, Masashi Aono, Yukio-Pegio Gunji.   

Abstract

There have been many attempts for realization of emergent computing, but the notion of emergent computing is still ambiguous. In an open system, emergence and an error cannot be specified distinctly, because they are dependent on the dis-equilibration process between local and global behaviors. To manifest such an aspect, we implement a Boolean gate as a biological device made of slime mold Physarum polycephalum. A Physarum (slime mold) Boolean gate could be an internally instable machine, while it has the potential for emergent computing. First, we examined whether Physarum Boolean gate works properly, and then examined its behaviors when the gate is collapsed in terms of hardware. The behavior of Physarum changes and self-repairing computing is achieved as a result. The self-repairing against internal failure is one of attributes of emergent and robust computing.

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Year:  2004        PMID: 14729281     DOI: 10.1016/j.biosystems.2003.08.001

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  16 in total

1.  Configurable NOR gate arrays from Belousov-Zhabotinsky micro-droplets.

Authors:  A L Wang; J M Gold; N Tompkins; M Heymann; K I Harrington; S Fraden
Journal:  Eur Phys J Spec Top       Date:  2016-02-29       Impact factor: 2.707

2.  Routing Physarum with repellents.

Authors:  A Adamatzky
Journal:  Eur Phys J E Soft Matter       Date:  2010-04-17       Impact factor: 1.890

3.  Physarum machines: encapsulating reaction-diffusion to compute spanning tree.

Authors:  Andrew Adamatzky
Journal:  Naturwissenschaften       Date:  2007-06-29

4.  A biologically inspired network design model.

Authors:  Xiaoge Zhang; Andrew Adamatzky; Felix T S Chan; Yong Deng; Hai Yang; Xin-She Yang; Michail-Antisthenis I Tsompanas; Georgios Ch Sirakoulis; Sankaran Mahadevan
Journal:  Sci Rep       Date:  2015-06-04       Impact factor: 4.379

5.  Kanizsa illusory contours appearing in the plasmodium pattern of Physarum polycephalum.

Authors:  Iori Tani; Masaki Yamachiyo; Tomohiro Shirakawa; Yukio-Pegio Gunji
Journal:  Front Cell Infect Microbiol       Date:  2014-02-28       Impact factor: 5.293

6.  Routing of Physarum polycephalum "signals" using simple chemicals.

Authors:  Ben de Lacy Costello; Andrew I Adamatzky
Journal:  Commun Integr Biol       Date:  2014-04-04

7.  Plant hairy root cultures as plasmodium modulators of the slime mold emergent computing substrate Physarum polycephalum.

Authors:  Vincent Ricigliano; Javed Chitaman; Jingjing Tong; Andrew Adamatzky; Dianella G Howarth
Journal:  Front Microbiol       Date:  2015-07-16       Impact factor: 5.640

8.  Assessing the chemotaxis behavior of Physarum polycephalum to a range of simple volatile organic chemicals.

Authors:  Ben P J de Lacy Costello; Andrew I Adamatzky
Journal:  Commun Integr Biol       Date:  2013-06-14

9.  On hybrid circuits exploiting thermistive properties of slime mould.

Authors:  Xavier Alexis Walter; Ian Horsfield; Richard Mayne; Ioannis A Ieropoulos; Andrew Adamatzky
Journal:  Sci Rep       Date:  2016-04-06       Impact factor: 4.379

10.  Towards a Physarum learning chip.

Authors:  James G H Whiting; Jeff Jones; Larry Bull; Michael Levin; Andrew Adamatzky
Journal:  Sci Rep       Date:  2016-02-03       Impact factor: 4.379

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