Search Results for author: Hideyoshi Yanagisawa

Found 4 papers, 0 papers with code

Information-Theoretic Free Energy as Emotion Potential: Emotional Valence as a Function of Complexity and Novelty

no code implementations23 Mar 2020 Hideyoshi Yanagisawa

We mathematically demonstrated that sensory surprisal represents free energy, and it is equivalent to a summation of information gain (or information from novelty) and perceived complexity (or information from complexity), which are the collative variables forming the arousal potential.

Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions

no code implementations13 Oct 2020 Chang Li, Hideyoshi Yanagisawa

A novel motivation model is proposed, in which intrinsic motivation is affected by two factors that derive from user interactions with virtual assistants: expectation of capability and uncertainty.

Free energy model of emotional valence in dual-process perceptions

no code implementations19 Oct 2022 Hideyoshi Yanagisawa, Xiaoxiang Wu, Kazutaka Ueda, Takeo Kato

To explain the effect of arousal on emotional valence, we propose a novel mathematical framework of arousal potential variations in the dual process of human cognition: automatic and controlled.

Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations

no code implementations14 Dec 2023 Hideyoshi Yanagisawa, Shimon Honda

The proposed mathematical framework unifies the free energy principle of the brain and the arousal potential theory to explain the Wundt curve as an information gain function and suggests an ideal inquiry process driven by epistemic emotions.

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