Emergent Intelligence in Simple and Single-Celled Organisms

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Biological Optimisation and Management".

Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 1200

Special Issue Editors


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Guest Editor
School of Engineering, College of Arts, Technology and Environment, University of the West of England, Bristol, UK
Interests: biologically-inspired robotics; engineering education; unconventional computing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Experimental Medicine Division, University of Oxford, Oxford, UK
Interests: bioinformatics; unconventional computing; taxonomy; biomedical science; data science

Special Issue Information

Dear Colleagues,

The study of emergent intelligence aims to shed light on the remarkable phenomenon of intelligence arising in simple or single-celled organisms, often with minimal or no neural complexity. Scientists investigate the decision-making processes and behaviours of microorganisms such as protists, bacteria, and fungi. Understanding the mechanisms behind the emergence of intelligence in these simple yet sophisticated micro- and sometimes macro-organisms allows us to unravel the origins of cognition and facilitates innovative applications in biomimetic artificial intelligence.

This Special Issue of Biomimetics invites submissions of articles that explore various aspects of emergent intelligence in single-celled and simple organisms. Topics ranging from the investigation of decision-making in simple biological structures to the study of holistic behaviours in organisms lacking a central nervous system or complex brain are welcome.

Dr. James Whiting
Dr. Richard Mayne
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • unconventional computing
  • decentralised control
  • neuromorphic computing
  • massively parallel processing

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Published Papers (1 paper)

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Research

18 pages, 3639 KiB  
Article
Computation Implemented by the Interaction of Chemical Reaction, Clustering, and De-Clustering of Molecules
by Yukio Pegio Gunji and Andrew Adamatzky
Biomimetics 2024, 9(7), 432; https://doi.org/10.3390/biomimetics9070432 - 16 Jul 2024
Viewed by 829
Abstract
A chemical reaction and its reaction environment are intrinsically linked, especially within the confines of narrow cellular spaces. Traditional models of chemical reactions often use differential equations with concentration as the primary variable, neglecting the density heterogeneity in the solution and the interaction [...] Read more.
A chemical reaction and its reaction environment are intrinsically linked, especially within the confines of narrow cellular spaces. Traditional models of chemical reactions often use differential equations with concentration as the primary variable, neglecting the density heterogeneity in the solution and the interaction between the reaction and its environment. We model the interaction between a chemical reaction and its environment within a geometrically confined space, such as inside a cell, by representing the environment through the size of molecular clusters. In the absence of fluctuations, the interplay between cluster size changes and the activation and inactivation of molecules induces oscillations. However, in unstable environments, the system reaches a fluctuating steady state. When an enzyme is introduced to this steady state, oscillations akin to action potential spike trains emerge. We examine the behavior of these spike trains and demonstrate that they can be used to implement logic gates. We discuss the oscillations and computations that arise from the interaction between a chemical reaction and its environment, exploring their potential for contributing to chemical intelligence. Full article
(This article belongs to the Special Issue Emergent Intelligence in Simple and Single-Celled Organisms)
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