Riku Sekiguchi

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About

Riku Sekiguchi is a pioneering researcher in artificial consciousness and cognitive robotics, with a focus on developing self-evolving systems that mimic biological awareness. His most cited work, "Study on the Environmental Cognition of a Self-evolving Conscious System" (2016), introduces a groundbreaking model where a robot’s internal state is evaluated through the "smoothness of information flow," defining pleasant and unpleasant experiences to guide autonomous learning. This framework bridges cognitive science and robotics, enabling machines to adapt behavior based on subjective-like evaluations rather than rigid programming. Though his citation count remains modest—with 2 citations for this key paper—Sekiguchi’s contributions are notable for their philosophical depth and technical innovation, offering a novel pathway toward artificial consciousness. His work challenges conventional AI paradigms by integrating phenomenological concepts into machine cognition, inspiring interdisciplinary dialogue between robotics, philosophy, and neuroscience. Sekiguchi’s research is particularly relevant for students and scholars exploring emergent intelligence, self-organization, and the ethical implications of conscious machines.