5 papers
Surprise Reduction and Nullification in Bayesian and Inverse Bayesian Inference under Ambiguous Prediction-Error Attribution
Shuji Shinohara, Daiki Morita, Yoshihiro Nakajima +4
In non-stationary environments, prediction errors may signal environmental change or transient outliers, and adaptive systems must track such changes without overreacting to outlie…
Adaptive Inference through Bayesian and Inverse Bayesian Inference with Symmetry-Bias in Nonstationary Environments
Shuji Shinohara, Daiki Morita, Hayato Hirai +6
This study proposes the novel Bayesian and inverse Bayesian (BIB) inference framework that incorporates symmetry bias into the Bayesian updating process to perform both conventiona…
A Simple Walk Model for Reproducing Power Laws in Human mobility
Shuji Shinohara, Daiki Morita, Hayato Hirai +6
Identifying statistical patterns characterizing human trajectories is crucial for public health, traffic engineering, city planning, and epidemic modeling. Recent developments in g…
Walk model that continuously generates Brownian walks to Lévy walks depending on destination attractiveness
Shuji Shinohara, Daiki Morita, Hayato Hirai +7
The Lévy walk, a type of random walk characterized by linear step lengths that follow a power-law distribution, is observed in the migratory behaviors of various organisms, ranging…
Inverse square Levy walk emerging universally in goal-oriented tasks
Shuji Shinohara, Daiki Morita, Nobuhito Manome +5
The Levy walk in which the frequency of occurrence of step lengths follows a power-law distribution, can be observed in the migratory behavior of organisms at various levels. Levy…