Generalized Solutions of Parrondo's Games. Issue 24 (7th November 2020)

• Record Type: Journal Article
• Authors: Koh, Jin Ming; Cheong, Kang Hao
• Is Part Of: Advanced science. Volume 7:Issue 24(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-11-07
• Subjects: analytical methods -- Brownian ratchets -- game theory -- generalized solutions -- noise -- non‐linear dynamics -- Parrondo's paradox; Science -- Periodicals; 505
• DOI: 10.1002/advs.202001126
• Languages: English
• ISSNs: 2198-3844

Abstract

Abstract: In game theory, Parrondo's paradox describes the possibility of achieving winning outcomes by alternating between losing strategies. The framework had been conceptualized from a physical phenomenon termed flashing Brownian ratchets, but has since been useful in understanding a broad range of phenomena in the physical and life sciences, including the behavior of ecological systems and evolutionary trends. A minimal representation of the paradox is that of a pair of games played in random order; unfortunately, closed‐form solutions general in all parameters remain elusive. Here, we present explicit solutions for capital statistics and outcome conditions for a generalized game pair. The methodology is general and can be applied to the development of analytical methods across ratchet‐type models, and of Parrondo's paradox in general, which have wide‐ranging applications across physical and biological systems. Abstract : The game‐theoretic Parrondo's paradox refers to the attainment of winning outcomes by alternating between losing strategies. Closed‐form solutions are presented for capital statistics in a stochastically mixed game pair with drawing outcomes, and in a further generalization with independently tunable game branches; the solutions accommodate arbitrary symmetry modulus M . The approach can be adapted to other ratchet‐type models.