Social-Reality-Model | Takato Horii | Osaka University

Decentralized Multi-Agent World Models and Emergent Communication

Mon, 01 Jan 2024 00:00:00 +0000

Building on the framework of collective predictive coding, we computationally model how multiple agents can learn world models in a decentralized way while emerging communication symbols through interaction. We clarify the conditions under which collective world models function as the basis for linguistic transmission and coordinated behavior.

Related papers:

Kentaro Nomura, Tatsuya Aoki, Tadahiro Taniguchi, Takato Horii. “Decentralized Collective World Model for Emergent Communication and Coordination”. 2025 IEEE International Conference on Development and Learning (ICDL), September 2025.
Kentaro Nomura, Tatsuya Aoki, Tadahiro Taniguchi, Takato Horii. “Decentralized Multi-Agent World Model Trainable via Collective Predictive Coding” (in Japanese). Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), May 2025.

Emergence and Sharing of Social Reality via Allostasis through Social Interaction

Mon, 01 Jan 2024 00:00:00 +0000

Based on allostasis (predictive regulation for maintaining homeostasis) mediated by social communication, we computationally model how the “social reality” of emotion emerges and is shared among agents. Through a social allostasis model with dynamic interpretants, we aim to constructively clarify how affective meaning is formed and shared through the interplay between social interaction and internal-state regulation.

Related papers:

Yushi Tsubamoto, Kentaro Nomura, Takato Horii. “Emergence and Sharing of Social Reality via Allostasis through Social Communication” (in Japanese). 43rd Annual Conference of the Robotics Society of Japan, September 2025.
Kentaro Nomura, Yushi Tsubamoto, Takato Horii. “Emergence of Social Reality of Emotion through a Social Allostasis Model with Dynamic Interpretants” (in Japanese). 43rd Annual Conference of the Robotics Society of Japan, September 2025.
Kentaro Nomura, Yushi Tsubamoto, Takato Horii. “ ”. arXiv:2605.07761.

Mind Synchrony and Emergence of Social Reality through Asymmetric Interaction

Mon, 01 Jan 2024 00:00:00 +0000

Using asymmetric social interactions — exemplified by parent-infant exchanges — as the subject, we computationally model how mind (internal-representation) synchrony is established through collective predictive coding, and how social reality emerges from it. Grounded in constructive theories of emotion, we explore mechanisms of dynamic representational synchrony through homeostatic co-regulation.

Related papers:

Yushi Tsubamoto, Shoichi Shimada, Takato Horii. “Synchronizing Minds through Collective Predictive Coding: A Parent-Infant Interaction Model Based on Constructive Theory of Emotion” (in Japanese). 43rd Annual Conference of the Robotics Society of Japan, September 2025.
Yushi Tsubamoto, Takato Horii. “ ”. arXiv:2605.07524.

Modeling Social Norm Formation and Creativity via Active Inference

Mon, 01 Jan 2024 00:00:00 +0000

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.

Related papers:

Kentaro Nomura, Takato Horii. “Modeling Social Norm Formation and Creativity Based on Active Inference” (in Japanese). Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), June 2026.
Kentaro Nomura, Takato Horii. “ ”. arXiv:2604.09026.