Simulation of foraging behavior using a decision-making agent with Bayesian and inverse Bayesian inference: Temporal correlations and power laws in displacement patterns
S. Shinohara, H. Okamoto, N. Manome, Y. Gunji, Y. Nakajima, T. Moriyama, U.-i. Chung
This study simulates foraging behavior using a Bayesian decision-making agent to explore how temporal correlations and power-law distributions in displacement patterns emerge from learning and inference processes.
bioRxiv · Jun 8, 2021Animal Behavior & Cognition