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    The evolutionary resilience of distributed cellular computing

    Cavaliere, M and Sanchez, A (2017) The evolutionary resilience of distributed cellular computing. In: 17th International Conference on Membrane Computing (CMC 2016), 25 July 2016 - 29 July 2016, Valencia, Spain.

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    Abstract

    Individual cells process environmental information relevant to their functions using biochemical processes and signalling networks that implement a flow of information from the extracellular environment, across the cell membrane to the cytoplasm in which the actual cellular computation takes place (in the form of gene expression). In many cases, the environmental information to be processed are either molecules produced by other cells or shared extracellular molecules - in this case the processing of the environmental information is a distributed, highly parallel computing process, in which cells must synchronize, coordinate and cooperate. While the ability of cells to cooperate can increase their overall computational power, it also raises an evolutionary stability issue - population of cooperating cells are at risk of cheating cells invasions, cells that do not cooperate but exploit the benefits of the population. The bridge between membrane computing (as a mathematical formalization of cellular computing) and evolutionary dynamics (as mathematical formalization of Natural selection) could lead to interesting insights on the evolutionary stability of cellular computing.

    Item Type: Conference or Workshop Item (Paper)
    Published Proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume: 10105
    Peer-reviewed: Yes
    Date Deposited: 26 Feb 2018 10:20
    Publisher: Springer
    Additional Information: 
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    Divisions: Faculties > Science and Engineering
    Subject terms: 08 Information And Computing Sciences, Artificial Intelligence & Image Processing
    URI: https://e-space.mmu.ac.uk/id/eprint/620004
    DOI: https://doi.org/10.1007/978-3-319-54072-6_1
    ISSN 0302-9743

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