바이오지능 연구실

How does the biological mind work? How does the brain build a model of the world to instantly and robustly act on it? What kinds of processing and organizational mechanisms allow the brain to learn so rapidly, flexibly, and continuously in a noisy, dynamic, and changing environment? How can we build smart machines that perceive, think, act, and learn like the human brain and mind? In the Biointelligence Lab and the Cognitive Robotics and ArtificialIntelligence Center (CRAIC) we pursue these questions using diverse methods of cognitive modeling, computational neuroscience, robotics, and computer science. We build robotic surrogates by “cloning” the embodied and situated mind using wearable sensors, such as smart glasses, watches, brain scanners, body sensors, and mobile devices. We collect human activity data by long-term life-tracking in the real world. Based on these observational data, we reverse-engineer the brain architecture by exploring the plausible neurocognitive models that best explain the mind in working. We also use videos and cartoons to study how the cognitive brain constructs episodic memory and mental imagery from a long sequence of context-rich events while watching dramas and movies. Our current efforts center around the deep, recurrent, and sparse hypernetwork architectures and learning algorithms that self-organize their structures instantly, incrementally, and continuously in a self-supervised way by perception-action cycle. The ultimate goal is to discover a large-scale, neurocognitive computational model of the brain that autonomously develops or evolves into human-level machine intelligence in lifelong interactions with the environment.