Haruki Ebisawa

Papers

Total Citations

H-Index

About

Haruki Ebisawa is a pioneering researcher in the emerging field of machine consciousness and affective robotics. His work focuses on developing artificial conscious systems that can experience internal states analogous to human emotions, specifically pleasantness and unpleasantness. Ebisawa’s core contribution is the creation of MoNADs (Modules of Neural Architecture for Dynamic consciousness)—specialized neuron groups designed to form the functional building blocks of a robot’s conscious experience. In his most cited work, “Pleasant and Unpleasant States in a Robot” (2015, 3 citations), he lays the groundwork for robots capable of human-like autonomous behavior and communication by integrating these emotional valences. His subsequent study, “Environmental Cognition of a Self-evolving Conscious System” (2016, 2 citations), advances this model by defining pleasant and unpleasant states through the “smoothness of the flow of information” within the conscious system. This innovative metric allows the robot to self-evaluate and evolve its behavior based on internal informational harmony. Though his citation counts are modest, Ebisawa’s work represents a bold, foundational step toward creating truly self-aware and emotionally intelligent machines, challenging traditional boundaries between cognition, emotion, and artificial life.