Research Seminars @ Illinois

Zoom: https://illinois.zoom.us/j/85239715448?pwd=hW1hTkx1wCdjKsX4mPAjI02iXmquEN.1

Refreshments Provided.

Abstract: 
While there has been substantial progress in AI, we are still far away from systems that can learn incrementally from small amounts of data while producing results that are understandable by human partners. Our hypothesis is that qualitative representations and analogical learning are central in human cognition, and that these ideas provide the basis for new technologies that will help us create more human-like AI systems. We illustrate using examples from vision, language, reasoning, and learning, including results involving deployed systems and benchmarks where these technologies outperform deep learning. These advances should support building software social organisms, that interact with people as collaborators rather than tools, which ultimately could revolutionize how AI systems are built and used.

Bio:
Kenneth D. Forbus is the Walter P. Murphy Professor of Computer Science and Professor of Education at Northwestern University.  His research interests include qualitative reasoning, analogical reasoning and learning, spatial reasoning, sketch understanding, natural language understanding, cognitive architecture, reasoning system design, and AI for education and learning.  He is a Fellow of the Association for the Advancement of Artificial Intelligence, the Cognitive Science Society, the Association for Computing Machinery, and the American Association for the Advancement of Science.  He is the inaugural recipient of the Herbert A. Simon Prize, a recipient of the Humboldt Research Award and served as Chair of the Cognitive Science Society.

Part of the Siebel School Speakers Series. Faculty Host: Heng Ji

Meeting ID: 852 3971 5448
Passcode: csillinois

If accommodation is required, please email <erink@illinois.edu> or <communications@cs.illinois.edu>. Someone from our staff will contact you to discuss your specific needs