Effect of local population uncertainty on cooperation in bacteria

Adam Noel, Yuting Fang, Nan Yang, Dimitrios Makrakis, Andrew W. Eckford

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)

    Abstract

    Bacteria populations rely on mechanisms such as quorum sensing to coordinate complex tasks that cannot be achieved by a single bacterium. Quorum sensing is used to measure the local bacteria population density, and it controls cooperation by ensuring that a bacterium only commits the resources for cooperation when it expects its neighbors to reciprocate. This paper proposes a simple model for sharing a resource in a bacterial environment, where knowledge of the population influences each bacterium's behavior. Game theory is used to model the behavioral dynamics, where the net payoff (i.e., utility) for each bacterium is a function of its current behavior and that of the other bacteria. The game is first evaluated with perfect knowledge of the population. Then, the unreliability of diffusion introduces uncertainty in the local population estimate and changes the perceived payoffs. The results demonstrate the sensitivity to the system parameters and how population uncertainty can overcome a lack of explicit coordination.

    Original languageEnglish
    Title of host publication2017 IEEE Information Theory Workshop, ITW 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages334-338
    Number of pages5
    ISBN (Electronic)9781509030972
    DOIs
    Publication statusPublished - 2 Jul 2017
    Event2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan
    Duration: 6 Nov 201710 Nov 2017

    Publication series

    NameIEEE International Symposium on Information Theory - Proceedings
    Volume2018-January
    ISSN (Print)2157-8095

    Conference

    Conference2017 IEEE Information Theory Workshop, ITW 2017
    Country/TerritoryTaiwan
    CityKaohsiung
    Period6/11/1710/11/17

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