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Effect of local population uncertainty on cooperation in bacteria
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Noel, Adam, Fang, Yuting, Yang, Nan, Makrakis, Dimitrios and Eckford, Andrew W. (2017) Effect of local population uncertainty on cooperation in bacteria. In: 2017 IEEE Information Theory Workshop (ITW), Kaohsiung, Taiwan, Taiwan, 6-10 Nov 2017. Published in: 2017 IEEE Information Theory Workshop (ITW) pp. 334-338. ISBN 9781509030972. doi:10.1109/ITW.2017.8278046
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Official URL: http://dx.doi.org/10.1109/ITW.2017.8278046
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.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
| Journal or Publication Title: | 2017 IEEE Information Theory Workshop (ITW) | ||||
| Publisher: | IEEE | ||||
| ISBN: | 9781509030972 | ||||
| Book Title: | 2017 IEEE Information Theory Workshop (ITW) | ||||
| Official Date: | 2017 | ||||
| Dates: |
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| Page Range: | pp. 334-338 | ||||
| DOI: | 10.1109/ITW.2017.8278046 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 2017 IEEE Information Theory Workshop (ITW) | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Kaohsiung, Taiwan, Taiwan | ||||
| Date(s) of Event: | 6-10 Nov 2017 |
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