Ken Forbus, Northwestern Univ

 

Ken Forbus, Northwestern Univ

Sage 4101

April 8, 2009 12:00 PM - 1:30 PM

A confluence of three factors is changing the kinds of AI experiments that can be done: (1) increasing computational power, (2) off-the-shelf representational resources, and (3) steady scientific progress, both in AI and in other areas of Cognitive Science. Consequently, I believe it is time for the field to spend more of its energy experimenting with larger-scale systems, and attempting to capture larger constellations of human cognitive abilities. This talk will summarize experiments with two larger-scale systems we have built at Northwestern: (1) Learning Reader, which learns by reading simplified English texts. It includes a novel process, rumination, where the system improves its learning by asking itself questions about material it has read. (2) Companions, a new cognitive architecture exploring the hypothesis that analogical reasoning and learning are central to human cognition. Learning experiments involving several domains will be discussed, as well as new experiments underway.

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, analogy and similarity, sketch understanding, spatial reasoning, cognitive simulation, cognitive architecture, reasoning system design, articulate educational software, and the roles of AI in interactive entertainment. He received his degrees from MIT (Ph.D. in 1984). He is a Fellow of the Association for the Advancement of Artificial Intelligence, the Cognitive Science Society, and the Association for Computing Machinery. He serves on the Governing Board of the Cognitive Science Society, and on the Advisory board of USC's Institute for Creative Technologies.

Companion Cognitive Systems:  Design Goals and Some Lessons Learned

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