Justin Li teaches in cognitive science and computer science, and is interested in how people and artificial agents perform knowledge search.
- Twitter: @justinnhli
Office Hours (Spring 2021)
All office hours will be held on Zoom. Look in the syllabus or email me for a link to the meeting room.
- Mondays 3:30-4:30pm Pacific Time
- Wednesdays 3:30-4:30pm Pacific Time
- Thursdays 10:30-11:30am Pacific Time
- By appointment
My research is broadly on the strategies that people and artificial agents might use in their search for knowledge during problem solving, from indicators that more knowledge is needed, to strategies for acquiring that knowledge, to the mechanisms, algorithms, and representations of knowledge for efficient retrieval.
- Subitize is a wrapper around Course Counts to provide advanced search functions.
- A Google Sheet to help with graduation planning.
Select Recent Publications
* indicates undergraduate co-author
- Justin Li (2019). Integrating Declarative Long-Term Memory Retrievals into Reinforcement Learning. In Proceedings of the 8th Annual Conference on Advances in Cognitive Systems (ACS).
- Justin Li (2019). Explorable Web Apps to Teach AI to Non-Majors. The Journal of Computing Sciences in Colleges, 34(4), 128-133.
- Justin Li and *Emma Kohanyi (2017). Towards Modeling False Memory with Computational Knowledge Bases. Topics in Cognitive Science (TopiCS), 9(1), 102-116.