arXiv stat.ML
· Papers
Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design
arXiv:2607.28894v1 Announce Type: cross Abstract: Computational cognitive modeling seeks to infer latent cognitive mechanisms underlying observed behavior. Bayesian inverse planning provides a principled framework for such inference, but its success depends critically on the experimental environment. Existing approache