Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference

Yukio Pegio Gunji, Takeshi Kawai, Hisashi Murakami, Takenori Tomaru, Mai Minoura, Shuji Shinohara

研究成果: Article査読

1 被引用数 (Scopus)

抄録

While swarming behavior is regarded as a critical phenomenon in phase transition and frequently shows the properties of a critical state such as Lévy walk, a general mechanism to explain the critical property in swarming behavior has not yet been found. Here, we address this problem with a simple swarm model, the Self-Propelled Particle (SPP) model, and propose a way to explain this critical behavior by introducing agents making decisions via the data-hypothesis interaction in Bayesian inference, namely, Bayesian and inverse Bayesian inference (BIB). We compare three SPP models, namely, the simple SPP, the SPP with Bayesian-only inference (BO) and the SPP with BIB models. We show that only the BIB model entails coexisting tornado, splash and translation behaviors, and the Lévy walk pattern.

本文言語English
ページ(範囲)247-260
ページ数14
ジャーナルComputational and Structural Biotechnology Journal
19
DOI
出版ステータスPublished - 2021 1

ASJC Scopus subject areas

  • バイオテクノロジー
  • 生物理学
  • 構造生物学
  • 生化学
  • 遺伝学
  • コンピュータ サイエンスの応用

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