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

Yanyan Li

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

zbMATH Keywords

exponential distributionpower-law distributionforaging behaviorBayesian and inverse Bayesian inferencedecision-making agent

Mathematics Subject Classification ID

Parametric inference under constraints (62F30) Bayesian inference (62F15) Empirical decision procedures; empirical Bayes procedures (62C12)

Uses Software

• plfit

Cites Work

• Unnamed Item
• 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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