Applying one reason decision-making: The prioritisation of literature searches

Australian Journal of Psychology

Volumn 54, Issue 3, 2002, Pages 137-143

  Lee, Michael D ^a   Loughlin, Natasha ^a   Lundberg, Ingrid B ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0036969947     PISSN: 00049530     EISSN: None     Source Type: Journal    
DOI: 10.1080/00049530412331312704     Document Type: Article

References (32)

1. Balabanovic, M. (1998). Exploring versus exploiting when learning user models for text recommendation. User Modeling and User-Adapted Interaction, 8, 71-102.
2. Brooks, R.A. (1991). Intelligence without representation. Artificial Intelligence, 47, 139-159.
3. Brunswik, E. (1943). Organismic achievement and environmental probabilities. Psychological Review, 50, 255-272.
4. Cohen, J.D. (1995). Highlights: Language- and domain-independent automatic indexing terms for abstracting. Journal of the American Society for Information Science, 46(3), 162-174.
5. Cox, T.F., & Cox, M.A.A. (1994). Multidimensional scaling. London: Chapman and Hall.
6. Doyle, J. (1999). Rational decision-making. In R.A. Wilson & F.C. Keil (Eds.), MIT encyclopedia of the cognitive sciences (pp. 701-703). Cambridge, MA: MIT Press.
7. Edwards, W., Lindman, H., & Savage, L.J. (1963). Bayesian statistical inference for psychological research. Psychological Review 70(3), 193-242.
8. Gelman, A., Carlin, J.B., Stern, H.S., & Rubin, D.B. (1995). Bayesian data analysis. London: Chapman & Hall.
9. Gigerenzer, G., & Goldstein, D.G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review 103(4), 650-669.
10. Gigerenzer, G., & Todd, P.M. (1999). Simple heuristics that make us smart. New York: Oxford University Press.
11. Goldstone, R.L. (1999). Similarity. In R.A. Wilson & F.C. Keil (Eds.), MIT encyclopedia of the cognitive sciences (pp. 763-765). Cambridge, MA: MIT Press.
12. Kass, R.E., & Raftery, A.E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773-795.
13. Lee, M.D. (2002a). Are these two groups of scores significantly different? A Bayesian approach. Manuscript submitted for publication.
14. Lee, M.D. (2002b). Generating additive clustering models with limited stochastic complexity. Journal of Classification, 19(1), 69-85.
15. Lee, M.D., Chandrasena, L.H., & Navarro, D.J. (2002). Using cognitive decision models to prioritise e-mails. Proceedings of the 24th Annual Conference of the Cognitive Science Society, 478-483.
16. Lindley, D.V. (1972). Bayesian statistics: A review. Philadelphia, PA: Society for Industrial and Applied Mathematics.
17. Macskassy, S.A., Dayanik, A.A., & Hirsh, H. (1999). Emailvalet: Learning user preferences for wireless email. Proceedings of Learning About Users Workshop, IJCAI'99.
18. Medin, D.L., & Schaffer, M.M. (1978). Context theory of classification. Psychological Review, 85, 207-238.
19. Mehran, S., Dumais, S., Heckerman, D., & Horvitz, E. (1998). A Bayesian approach to filtering junk e-mail. AAAI-98 Workshop on Learning for Text Categorization.
20. Pinker, S. (1998). How the mind works. Great Britain: The Softback Preview.
21. Pitt, M.A., Myung, I.J., & Zhang, S. (2002). Toward a method of selecting among computational models of cognition. Psychological Review, 109(3), 472-491.
22. PsycINFO. (2001). Norwood, MA: SilverPlatter International.
23. Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107(2), 358-367.
24. Shepard, R.N. (1974). Representation of structure in similarity data: Problems and prospects. Psychometrika, 39(4), 373-422.
25. Shepard, R.N. (1980). Multidimensional scaling, tree-fitting, and clustering. Science, 210, 390-398.
26. Shepard, R.N., & Arabie, P. (1979). Additive clustering representations of similarities as combinations of discrete overlapping properties. Psychological Review, 86(2), 87-123.
27. Simon, H.A. (1956). Rational choice and the structure of environments. Psychological Review, 63, 129-138.
28. Simon, H.A. (1982). Models of bounded rationality. Cambridge, MA: MIT Press.
29. Sivia, D.S. (1996). Data analysis: A Bayesian tutorial. Oxford: Clarendon Press.
30. Tenenbaum, J.B. (1996). Learning the structure of similarity. In D.S. Touretzky, M.C. Mozer, & M.E. Hasselmo (Eds.), Advances in neural information processing systems, (Vol. 8, pp. 3-9). Cambridge, MA: MIT Press.
31. Todd, P.M., & Gigerenzer, G. (2000). Precis of simple heuristics that make us smart. Behavioral and Brain Sciences, 23, 727-780.
32. Tversky, A. (1977). Features of similarity. Psychological Review, 84(4), 327-352.