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Uncertainty of the second order

Quasispecies model with inverse Bayesian inference
  • Taichi HarunaEmail author
Original Article
  • 15 Downloads

Abstract

We study the stochastic dynamics of the quasispecies model with inverse Bayesian inference under environmental uncertainty. Inverse Bayesian inference is introduced through the correspondence between Bayesian inference and the replicator equation. We consider environmental uncertainty that is not modeled as the stochastic fitness called uncertainty of the second order. This is in contrast to uncertainty of the first order that can be subsumed by the stochastic fitness. The difference between these two kinds of uncertainty is discussed in the framework of categorical Bayesian probability theory. We analytically show that if the time scale of inverse Bayesian inference is sufficiently larger than that of Bayesian inference, then the quasispecies model exhibits a noise-induced transition. The theoretical result is verified by a numerical simulation.

Keywords

Bayesian inference Replicator equation Quasispecies model Category theory Fokker–Planck equation Noise-induced transition 

Notes

Acknowledgements

The author is grateful to the anonymous reviewers for their helpful suggestions. The author was partially supported by JSPS KAKENHI Grant Number 18K03423.

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Copyright information

© International Society of Artificial Life and Robotics (ISAROB) 2019

Authors and Affiliations

  1. 1.Department of Information and SciencesTokyo Woman’s Christian UniversityTokyoJapan

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