Roger C. Schank

Affiliations: 
1974-1989 Yale University, New Haven, CT 
 2005-2007 Trump University, New York, NY, United States 
Area:
Artificial Intelligence
Website:
https://en.wikipedia.org/wiki/Roger_Schank
Google:
"Roger Schank"
Cross-listing: Neurotree

Parents

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Jacob Mey grad student UT Austin (Neurotree)

Children

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Daniel C. Edelson grad student Northwestern (Computer Science Tree)
Richard H. Granger grad student Dartmouth (Neurotree)
Kristian J. Hammond grad student Yale (Computer Science Tree)
Charles J. Rieger grad student Stanford (Neurotree)
Scott P. Robertson grad student Yale (PsychTree)
Wendy Grace Lehnert grad student 1977 Yale (Neurotree)
Robert Wilensky grad student 1978 Yale (Computer Science Tree)
Jaime Carbonell grad student 1979 Yale (LinguisTree)
Gerald F. DeJong grad student 1979 Yale (Computer Science Tree)
Janet L. Kolodner grad student 1980 Yale (Computer Science Tree)
Lawrence E. Hunter grad student 1987 Yale (Neurotree)
Colleen Seifert grad student 1980-1987 Yale (Neurotree)
Ashwin Ram grad student 1989 Yale
David Leake grad student 1983-1990 Yale
Andrew Fano grad student 1989-1996 Northwestern (Neurotree)
BETA: Related publications

Publications

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Schank RC, Abelson RP. (2013) Scripts, plans, goals, and understanding Readings in Cognitive Science: a Perspective From Psychology and Artificial Intelligence. 190-223
Schank R. (2011) On the Supposed Importance of Education Elearn. 2011: 1
Schank RC. (2010) Learning Through Storytelling, Not Documents: Knowledge Management Meets AI Elearn. 2010: 1
Schank RC. (2010) Teaching Diagnosis: What Do People Need to Learn? Elearn. 2010: 7
Schank RC. (2010) Learning is Still the Same Elearn. 2010: 7
Schank RC. (2009) Learning Business Through Scenarios Elearn. 2009: 1
Schank RC. (2009) What Can Be Taught: Part II Elearn. 2009: 4
Schank RC. (2009) Reminding and e-Learning Elearn. 2009: 4
Schank RC, Szegö S. (1996) Chapter 19 A learning environment to teach planning skills Advances in Psychology. 113: 319-333
Schank RC, Fano A. (1995) Memory and expectations in learning, language, and visual understanding Artificial Intelligence Review. 9: 261-271
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