Batchelder, W. H., & Riefer, D. M. (1999). Theoretical and
empirical review of multinomial process tree modeling.
Psychonomic Bulletin & Review, 6, 57-86.
Beaman, C. P., Smith, P. T., Frosch, C. A., & McCloy, R.
(2010). Less-is-more effects without the recognition
heuristic. Judgment & Decision-Making, 5, 258-271.
Frosch, C., Beaman, C. P., & McCloy, R. (2007). A little
learning is a dangerous thing: An experimental
demonstration of ignorance-driven inference. Quarterly
Journal of Experimental Psychology, 60, 1329-1336
Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the
fast and frugal way: Models of bounded rationality.
Psychological Review, 103, 650-669.
Gigerenzer, G., Hertwig, R., & Pachur, T. (2011).
Heuristics: The foundations of adaptive behavior. Oxford:
OUP.
Goldstein, D., & Gigerenzer, G. (2002). Models of
ecological rationality: The recognition heuristic.
Psychological Review, 103, 650-669.
Hilbig, B. E. (2010). Precise models deserve precise
measures: a methodological dissection. Judgment and
Decision Making, 5, 272-284
Hilbig, B. E., Erdfelder, E., & Pohl, R. F. (2010). Onereason
decision-making unveiled: A measurement model
of the recognition heuristic. Journal of Experimental
Psychology: Learning, Memory & Cognition 36, 123-134
Hilbig, B. E. & Pohl, R. F. (2008). Recognizing users of the
recognition heuristic. Experimental Psychology, 55, 394-
401
Hilbig, B. E., Pohl, R. F. & Bröder, A. (2009). Criterion
knowledge: A moderator of using the recognition
heuristic? Journal of Behavioral Decision Making, 22,
510-522
Hilbig, B. E., & Richter, T. (2011). Homo heuristicus
outnumbered: Comment on Gigerenzer and Brighton
(2009). Topics in Cognitive Science, 3, 187-196
Howard, J. A. (1963). Consumer Behaviour: Application of
theory. New York: McGraw-Hill.
Moshagen, M. (2010). multiTree: A computer program for
the analysis of multinomial processing tree models.
Behavior Research Methods, 42, 42-54.
Marewski, J. N., Gaissmaier, W., Schooler, L. J., Goldstein,
D. G., & Gigerenzer, G. (2010). From recognition to
decisions: Extending and testing recognition-based
models for multi-alternative inference. Psychonomic
Bulletin & Review, 17, 287-309.
Marewski, J. N., & Mehlhorn, K. (2011). Using the ACT-R
architecture to specify 39 quantitative process models of
decision making. Judgment and Decision Making, 6, 439-
519
McCloy, R., Beaman, C. P., & Smith, P. T. (2008). The
relative success of recognition-based inference in multichoice
decisions. Cognitive Science, 32, 1037-1048
Pachur, T. & Hertwig, R. (2006). On the psychology of the
recognition heuristic: Retrieval primacy as a key
determinant of its use. Journal of Experimental
Psychology: Learning, Memory & Cognition, 32, 983-
1002.
Schooler, L. J., & Hertwig, R. (2005). How forgetting aids
heuristic inference. Psychological Review, 112, 610-628.
Smith, P. T., Beaman, C. P., & McCloy, R. (2011). The
recognition heuristic and knowledge use. Poster presented
to Subjective Probability, Utility & Decision-Making
(SPUDM) 23, Kingston-upon-Thames, London.
Sternberg, S. (1998). Discovering mental processing stages:
The method of additive factors. In: D. Scarborough & S,
Sternberg (Ed.s) An invitation to cognitive science,
volume 4: Methods, models and conceptual issues.
Cambridge, Ma.: MIT Press.
Wright, P. & Barbour, T. (1977). Phased decision strategies:
Sequels to initial screening. In: M. Starr & M. Zeleny
(Ed.s) Multiple criteria decision making. Amsterdam:
North Holland Publishing.