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

Computational and Structural Biotechnology Journal

卷:19

Shuji Shinohara¹  Takenori Tomaru²  Mai Minoura²  Takeshi Kawai²  Yukio-Pegio Gunji²  Hisashi Murakami³ 

[1] Department of Bioengineering, Graduate School of Engineering, The University of Tokyo Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan;

[2] Department of Intermedia Art and Science, School of Fundamental Science and Technology, Waseda University, 3-4-1 Ohkubo, Shinjuku-ku, Tokyo, 169-8555, Japan;

[3] Research Center for Advanced Science and Technology, The University of Tokyo Komaba 4-6-1, Meguro-ku, Tokyo, 153-0041, Japan;

关键词: Lévy walk;    Swarm Behavior;    Bayesian inference;    Critical phenomena;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown