Embracing Uncertainty: Reducing Predictive Precision in Bayesian Inference Enhances Novelty in Creative Design

OSF Preprints (OSF Preprints) 2026 Preprint Open access

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Authors: Koji Koizumi, Hideyoshi Yanagisawa, Shimon Honda, Yoed Nissan Kenett, Caroline Di Bernardi Luft
DOI: 10.17605/osf.io/kry8q
Cited by: 0

Abstract

Acknowledgement: Parts of the simulation code and analysis code were developed by Shimon Honda and Kakeru Hashimoto.

Fields of Study & Subjects

Design Education and Practice Creativity in Education and Neuroscience Bayesian Modeling and Causal Inference

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
1 January 2026
Language
EN
Document type
Preprint