Chihiro Yoshimura
Papers
2
Total Citations
8
H-Index
2
About
Chihiro Yoshimura is a rising researcher at the intersection of artificial intelligence, cognitive science, and developmental robotics. Their work centers on enabling artificial agents to exhibit socially intelligent and adaptive behaviors through the lens of active inference—a framework that models perception, action, and learning as a unified process. Yoshimura’s key contributions include the development of an empathy mechanism for socially behaved artificial agents, allowing machines to adapt their conduct across diverse social contexts without rigid, pre-defined rules. This approach, detailed in their 2023 paper "Active Inference With Empathy Mechanism for Socially Behaved Artificial Agents in Diverse Situations" (6 citations), addresses a fundamental challenge in human-robot interaction. Additionally, Yoshimura has explored how hierarchical active inference can be combined with developmental embodiment to form dynamic perception-action loops, as presented in their 2023 work "Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference" (2 citations). These studies represent early but impactful steps toward building agents that learn and behave like living organisms—adapting to their environment through continuous, embodied interaction. Yoshimura’s research promises to shape future autonomous systems that are not only intelligent but also socially attuned.
Research Focus
Key Achievements
Top Papers
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