1. Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference
- Author
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Shuji Shinohara, Takenori Tomaru, Hisashi Murakami, Takeshi Kawai, Yukio Pegio Gunji, and Mai Minoura
- Subjects
Computer science ,Critical phenomena ,Swarm Behavior ,Bayesian inference ,Bayesian probability ,Biophysics ,Inverse ,Inference ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,Structural Biology ,Genetics ,Statistical physics ,ComputingMethodologies_COMPUTERGRAPHICS ,030304 developmental biology ,0303 health sciences ,Swarm behaviour ,Lévy walk ,Computer Science Applications ,Lévy flight ,030220 oncology & carcinogenesis ,TP248.13-248.65 ,Critical property ,Research Article ,Biotechnology - Abstract
Graphical abstract, 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.
- Published
- 2021