Simulation of foraging behavior using a decision-making agent with Bayesian and inverse Bayesian inference: temporal correlations and power laws in displacement patterns
DOI10.1016/J.CHAOS.2022.111976zbMath1498.62020OpenAlexW4220709918MaRDI QIDQ2098760
Publication date: 18 November 2022
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2022.111976
exponential distributionpower-law distributionforaging behaviorBayesian and inverse Bayesian inferencedecision-making agent
Parametric inference under constraints (62F30) Bayesian inference (62F15) Empirical decision procedures; empirical Bayes procedures (62C12)
Uses Software
Cites Work
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- A general model of forager search: adaptive encounter-conditional heuristics outperform Lévy flights in the search for patchily distributed prey
- On-Line Expectation–Maximization Algorithm for latent Data Models
- Introduction to Semi-Supervised Learning
- Power-Law Distributions in Empirical Data
- On-line EM Algorithm for the Normalized Gaussian Network
- Inverse Bayesian inference in swarming behaviour of soldier crabs
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