3 papers
cs.AI2026
Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying
Shimon Honda, Takuma Miyaguchi, Koji Koizumi +3
This paper proposes the Bayesian Expected Uncertainty Reduction (B-EUR) model, which formalizes the value of trying a candidate design action as its expected reduction of epistemic…
q-bio.NC2025
Evaluation of "As-Intended" Vehicle Dynamics using the Active Inference Framework
Kazuharu Kidera, Takuma Miyaguchi, Hideyoshi Yanagisawa
We constructed a computational model of the driver's brain for steering tasks using the active inference framework, grounded in the free energy principle - a theory from computatio…
cs.HC2023
Modeling the sense of presence of remote participants in hybrid communication and its application to the design of avatar robot behavior
Takuma Miyaguchi, Hideyoshi Yanagisawa
We formulated the sense of the presence of a remote participant in hybrid communication using a Bayesian framework. We also applied the knowledge gained from the simulation with th…