Computational Cognition & Development Lab

Welcome to the Computational Cognition and Development Lab at Hanyang University, Seoul. We investigate how people acquire knowledge by identifying the learning mechanisms involved. We are also interested in how these knowledge representations and structures change across development, and are formed in different contexts. Our research area includes, but is not limited to, episodic/semantic memory, semantic cognition, category/concept learning and their developments. We also build computational (cognitive) models and statistical methods to better explain these behavioral patterns. More information about the research done in the lab here. As computational cognitive scientists, the lab's interest is to scientifically understand 'the origins of knowledge', which questions how knowledge is initially acquired, and becomes organized and generalized beyond what has been acquired. Relatedly, our research focus is in human memory (including but not limited to episodic/semantic memory), memory development, category/concept learning (and its development). Methodologically, we have been examining human (infants, children, and adults) behavior using various methods such as eyetracking, and experience sampling (EMA). We also use and build computational (cognitive) models and statistical methods to better explain these behavioral patterns such as multinomial processing tree models, hierarchical Bayesian models, neural network models, reaction time models, semblance-based analysis, and various AI/machine learning models/tools.