Justin Li teaches in cognitive science and computer science, and is interested in how people and artificial agents perform knowledge search.
Office Hours (Fall 2022)
Office hours are in my office (Swan B102) by default. If you would prefer to meet on Zoom instead, please email me for a link to the meeting room.
- Mondays 5-6pm (Pacific Time)
- Wednesdays 3-4pm (Pacific Time)
- Thursdays 4:30-5:30pm (Pacific Time)
- By appointment
My office is slightly hard to find. The easiest way to my office is to enter Swan Hall from the quad via the door quad closest to JSC/Marketplace, then go all the way down the stairs. My office (Swan B102) will be on the right.
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, *Bryce Boyle (2022). Towards a Computational Model of a Dynamic Feeling of Knowing. In Proceedings of the 19th International Conference on Cognitive Modeling (ICCM).
- 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.