Prior knowledge in high-level cognition
6552 Franz Hall
Description of Research Project:
We study predictive, diagnostic and analogical reasoning from a computational perspective. We are especially interested in what prior knowledge humans assume in making an inference from few examples. Our research aims to develop computational models for a range of reasoning experiments, and assess the validity of computational models by comparing their predictions with human performance in controlled experiments.
Description of Student Responsibilities:
Students will be involved in conducting experiments, data collection and organization. Students also have the opportunity to aid in the design of new experiments and the development of computational modeling. Students are encouraged to be involved in the new experiments for the preparation for the Psychology Undergraduate Research Conference (PURC) at UCLA.