Literature DB >> 28204482

Collective behaviour and swarm intelligence in slime moulds.

Chris R Reid1,2, Tanya Latty2.   

Abstract

The study of collective behaviour aims to understand how individual-level behaviours can lead to complex group-level patterns. Collective behaviour has primarily been studied in animal groups such as colonies of insects, flocks of birds and schools of fish. Although less studied, collective behaviour also occurs in microorganisms. Here, we argue that slime moulds are powerful model systems for solving several outstanding questions in collective behaviour. In particular, slime mould may hold the key to linking individual-level mechanisms to colony-level behaviours. Using well-established principles of collective animal behaviour as a framework, we discuss the extent to which slime mould collectives are comparable to animal groups, and we highlight some potentially fruitful areas for future research.

Keywords:  Physarum polycephalum; Dictyostelium discoideum; unicellular communication; problem solving

Mesh:

Year:  2016        PMID: 28204482     DOI: 10.1093/femsre/fuw033

Source DB:  PubMed          Journal:  FEMS Microbiol Rev        ISSN: 0168-6445            Impact factor:   16.408


  13 in total

1.  Stress signalling in acellular slime moulds and its detection by conspecifics.

Authors:  L Briard; C Goujarde; C Bousquet; A Dussutour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-05-18       Impact factor: 6.237

Review 2.  Evolutionary convergence and biologically embodied cognition.

Authors:  Fred A Keijzer
Journal:  Interface Focus       Date:  2017-04-21       Impact factor: 3.906

3.  Behavioural analysis of single-cell aneural ciliate, Stentor roeseli, using machine learning approaches.

Authors:  Mi Kieu Trinh; Matthew T Wayland; Sudhakaran Prabakaran
Journal:  J R Soc Interface       Date:  2019-12-04       Impact factor: 4.118

Review 4.  From representations to servomechanisms to oscillators: my journey in the study of cognition.

Authors:  Ken Cheng
Journal:  Anim Cogn       Date:  2022-08-27       Impact factor: 2.899

Review 5.  Self-Concern Across Scales: A Biologically Inspired Direction for Embodied Artificial Intelligence.

Authors:  Matthew Sims
Journal:  Front Neurorobot       Date:  2022-04-25       Impact factor: 3.493

6.  Collective self-optimization of communicating active particles.

Authors:  Alexandra V Zampetaki; Benno Liebchen; Alexei V Ivlev; Hartmut Löwen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-07       Impact factor: 12.779

7.  Ant collective cognition allows for efficient navigation through disordered environments.

Authors:  Aviram Gelblum; Ehud Fonio; Yoav Rodeh; Amos Korman; Ofer Feinerman
Journal:  Elife       Date:  2020-05-12       Impact factor: 8.140

8.  Adaptive behaviour and learning in slime moulds: the role of oscillations.

Authors:  Aurèle Boussard; Adrian Fessel; Christina Oettmeier; Léa Briard; Hans-Günther Döbereiner; Audrey Dussutour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-01-25       Impact factor: 6.237

Review 9.  The hallmarks of living systems: towards creating artificial cells.

Authors:  N Amy Yewdall; Alexander F Mason; Jan C M van Hest
Journal:  Interface Focus       Date:  2018-08-17       Impact factor: 3.906

10.  Substrate composition directs slime molds behavior.

Authors:  Fernando Patino-Ramirez; Aurèle Boussard; Chloé Arson; Audrey Dussutour
Journal:  Sci Rep       Date:  2019-10-28       Impact factor: 4.379

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