S. Shinohara

A generalized distribution interpolated between the exponential and power law distributions and applied to the walking data of the pill bug (Armadillidium vulgare)

The paper introduces a generalized distribution between power-law and exponential distributions and applies it to analyze pill bug walking data, finding a negative correlation between the shape parameter and time dependency of step-length changes.

Simulation of foraging behavior using a decision-making agent with Bayesian and inverse Bayesian inference: Temporal correlations and power laws in displacement patterns

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.

A new method of Bayesian causal inference in non-stationary environments

This paper introduces an extended Bayesian inference method that improves causal inference in non-stationary environments by balancing learning and forgetting effects.

Extended Bayesian inference incorporating symmetry bias

This paper introduces a Bayesian inference method that incorporates symmetry bias to enable flexible inference and learning in changing situations.