A Bayesian model of pedagogical reasoning

AAAI Fall Symposium - Technical Report

Volumn FS-08-06, Issue , 2008, Pages 101-102

  Shafto, Patrick ^a   Goodman, Noah ^b  

^a UNIVERSITY OF LOUISVILLE   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN MODEL; FUTURE DIRECTIONS; PEDAGOGICAL MODEL; TEACHING AND LEARNING;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; LEARNING SYSTEMS;

TEACHING;

EID: 77952115261     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Csibra, G. (2007). Teachers in the wild. Trends in Cognitive Sciences, 11, 95-96.
2. Gergely, G., Egyed, K., & Kiraly, I. (2007). On pedagogy. Developmental Science, 10, 139-146.
3. Luce, R. D. (1959). Individual choice behavior. New York: John Wiley.
4. Tenenbaum, J. B. (1999). Bayesian modeling of human concept learning. In M. Kear, S. A. Soller, T. K. Leen, & K. R. Müller (Eds.), Advances in neural processing systems 11 (pp. 59-65). MIT Press.
5. Tenenbaum, J. B., & Griffiths, T. L. (2001). The rational basis of representativeness. In Proceedings of the 23nd annual conference of the Cognitive Science Society (pp. 1036-1041). Hillsdale, NJ: Erlbaum.
6. Xu, F., & Tenenbaum, J. (2007). Sensitivity to sampling in Bayesian word learning. Developmental Science, 10, 288-297.