ArticleComputational and structural biotechnology journal2021
Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference.
Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Socioeconomic Gauging of Brown and Levy Power Motions.Entropy (Basel, Switzerland) · 2026Article
- Duration-dependent effects of social isolation on reintegration behavior in the swarming soldier crab, Mictyris guinotae.PloS one · 2026Article
- Brown and Levy Steady-State Motions.Entropy (Basel, Switzerland) · 2025Article
- Levy Noise Affects Ornstein-Uhlenbeck Memory.Entropy (Basel, Switzerland) · 2025Article
- Functional duality in group criticality via ambiguous interactions.PLoS computational biology · 2023Article
- Connecting the free energy principle with quantum cognition.Frontiers in neurorobotics · 2022Article
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Authors and funding
6 authors.
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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.
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