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Parrondo effect: Exploring the nature-inspired framework on periodic functions

Jia, Shuyi and Lai, Joel Weijia and Koh, Jin Ming and Xie, Neng Gang and Cheong, Kang Hao (2020) Parrondo effect: Exploring the nature-inspired framework on periodic functions. Physica A, 556 . Art. No. 124714. ISSN 0378-4371. https://resolver.caltech.edu/CaltechAUTHORS:20200521-151840148

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Abstract

Recently, a population model has been analyzed using the framework of Parrondo’s paradox to explain how behavior-switching organisms can achieve long-term survival, despite each behavior individually resulting in extinction. By incorporating environmental noise, the model has been shown to be robust to natural variations. Apart from the role of noise, the apparent ubiquity of quasi-periodicity in nature also motivates a more comprehensive understanding of periodically-coupled models of Parrondo’s paradox. Such models can enable a wider range of applications of the Parrondo effect to biological and social systems. In this paper, we modify the canonical Parrondo’s games to show how the Parrondo effect can still be achieved despite the increased complexity in periodically-noisy environments. Our results suggest the extension of Parrondo’s paradox to real-world phenomena strongly subjected to periodic variations, such as ecological systems experiencing seasonal changes, disease in wildlife and humans, or resource management.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.physa.2020.124714DOIArticle
Additional Information:© 2020 Elsevier B.V. Received 1 March 2020, Revised 14 May 2020, Available online 21 May 2020.
Funders:
Funding AgencyGrant Number
Singapore University of Technology and DesignSRG SCI 2019 142
Record Number:CaltechAUTHORS:20200521-151840148
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200521-151840148
Official Citation:Shuyi Jia, Joel Weijia Lai, Jin Ming Koh, Neng Gang Xie, Kang Hao Cheong, Parrondo effect: Exploring the nature-inspired framework on periodic functions, Physica A: Statistical Mechanics and its Applications, Volume 556, 2020, 124714, ISSN 0378-4371, https://doi.org/10.1016/j.physa.2020.124714. (http://www.sciencedirect.com/science/article/pii/S0378437120303538)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:103383
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:21 May 2020 22:25
Last Modified:23 Jun 2020 20:32

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