Modeling Social Norm Formation and Creativity via Active Inference

2024年1月1日 · 1 min read
research

Using active inference as a unifying framework, we computationally model how social norms form and are maintained through agent interactions, and how the same predictive processing also produces creative behavior — productive deviation from norms. We aim to capture the dialectical relationship between conformity and creativity in a single predictive framework.

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Takato Horii
Authors
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University. Research interests include cognitive developmental robotics, computational modeling of emotional development, and human-robot interaction.