ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2018
Inverse Bayesian inference in swarming behaviour of soldier crabs.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 28 citations in OpenAlex.
- Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras.Entropy (Basel, Switzerland) · 2026Article
- Functional duality in group criticality via ambiguous interactions.PLoS computational biology · 2023Article
- Connecting the free energy principle with quantum cognition.Frontiers in neurorobotics · 2022Article
- Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication.Frontiers in neurorobotics · 2022Article
- Message Passing and Metabolism.Entropy (Basel, Switzerland) · 2021Article
- Mutual anticipation can contribute to self-organization in human crowds.Science advances · 2021Article
- Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference.Computational and structural biotechnology journal · 2021Article
- Article
- Dissipative structures in matter out of equilibrium: from chemistry, photonics and biology, the legacy of Ilya Prigogine (part 2).Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2018Article
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
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Abstract
Animals making a group sometimes approach and sometimes avoid a dense area of group mates, and that reveals the ambiguity of density preference. Although the ambiguity is not expressed by a simple deterministic local rule, it seems to be implemented by probabilistic inference that is based on Bayesian and inverse Bayesian inference. In particular, the inverse Bayesian process refers to perpetual changing of hypotheses. We here analyse a time series of swarming soldier crabs and show that they are employed to Bayesian and inverse Bayesian inference. Comparing simulation results with data of the real swarm, we show that the interpretation of the movement of soldier crabs which can be based on the inference can lead to the identification of a drastic phase shift-like transition of gathering and dispersing.This article is part of the theme issue 'Dissipative structures in matter out of equilibrium: from chemistry, photonics and biology (part 2)'.
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