Contact
Email:. Email is best
Phone: (212) 998-3123. Fax: (212) 995-4121
Address: Dept. of Computer Science, New York University, Room 329, 251 Mercer St., New York NY 10012 USA
Teaching
Current Course Web Page: Artificial Intelligence, Monday & Wednesday, 11:00-12:15
Previous Course Web Pages
Academic Family Tree (Teachers and Students)
Notes on AI Topics
Computer Science Education At NYU
Research
In my research, I study the problem of representing commonsense knowledge: that is, the problem of taking the basic knowledge about the real world that is common to all humans; expressing it in a form that is systematic enough to be used by a computer program; and providing the program with techniques for effectively using that knowledge. My work has focused primarily on spatial and physical reasoning, but I have also looked at reasoning about knowledge, belief, plans, and goals, and their interaction with physical reasoning.Current research projects
- Integrating scientific and commonsense reasoning
- Reasoning about Containers
- Qualitative Spatial Reasoning
- Commonsense Reasoning and Text Comprehension
- Commonsense Reasoning and Probability Theory
- Limits of Simulation Theory
- Limits of Bayesian and Optimalist Cognitive Theories
If you are interested in commonsense reasoning, you might like to look at the List of Benchmarks and Datasets for Commonsense Reasoning, the Winograd Schema Challenge, and the CACM 2015 article surveying the state of the art by Gary Marcus and me.
Publications
Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus and me has been published by Pantheon Press.Books
Complete List of Research Papers
Research Papers with Abstracts
Surveys and Essays
Book Reviews
Writing for a General Audience
Recreational Writing
Presentations
Videos
Curriculum Vitae