Sequential processing of cues in memory-based multiattribute decisions
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Bergert, F. B., &Nosofsky, R. M. (2007). A response-time approach to comparing generalized rational and take-the-best model of decision making.Journal of Experimental Psychology: Learning, Memory, & Cognition,33, 107–129.
Bröder, A. (2000). Assessing the empirical validity of the “Take-The-Best” heuristic as a model of human probabilistic inference.Journal of Experimental Psychology: Learning, Memory, & Cognition,26, 1332–1346.
Bröder, A. (2003). Decision making with the “adaptive toolbox”: Influence of environmental structure, intelligence, and working memory load.Journal of Experimental Psychology: Learning, Memory, & Cognition,29, 611–625.
Bröder, A., &Schiffer, S. (2003a). Bayesian strategy assessment in multi-attribute decision making.Journal of Behavioral Decision Making,16, 193–213.
Bröder, A., &Schiffer, S. (2003b). Take the best versus simultaneous feature matching: Probabilistic inferences from memory and effects of representation format.Journal of Experimental Psychology: General,132, 277–293.
Bröder, A., &Schiffer, S. (2006). Stimulus format and working memory in fast and frugal strategy selection.Journal of Behavioral Decision Making,19, 361–380.
Dawes, R. M. (1979). The robust beauty of improper linear models in decision making.American Psychologist, 34, 571–582.
Dougherty, M. R. P., Gettys, C. F., &Ogden, E. E. (1999). MINERVA-DM: A memory processes model for judgments of likelihood.Psychological Review,106, 180–209.
Gigerenzer, G., &Goldstein, D. (1996). Reasoning the fast and frugal way: Models of bounded rationality.Psychological Review,103, 650–669.
Gigerenzer, G., &Todd, P. M. (1999). Fast and frugal heuristics: The adaptive toolbox. In G. Gigerenzer, P. M. Todd, & the ABC Research Group,Simple heuristics that make us smart (pp. 3–34). New York: Oxford University Press.
Juslin, P., Olsson, H., &Olsson, A. C. (2003). Exemplar effects in categorization and multiple-cue judgment.Journal of Experimental Psychology: General,132, 133–156.
Juslin, P., &Persson, M. (2002). PROBabilities from EX emplars (PROBEX): A “lazy” algorithm for probabilistic inference from generic knowledge.Cognitive Science,26, 563–607.
Martignon, L., &Hoffrage, U. (2002). Fast, frugal, and fit: Simple heuristics for paired comparison.Theory & Decision,52, 29–71.
Mitchell, T. R., &Beach, L. R. (1990). “ … Do I love thee? Let me count …”: Toward an understanding of intuitive and automatic deci sion making.Organizational Behavior & Human Decision Processes,47, 1–20.
Newell, B. R., &Shanks, D. R. (2003). Take the best or look at the rest? Factors influencing “one-reason” decision making.Journal of Experimental Psychology: Learning, Memory, & Cognition,29, 53–65.
Newell, B. R., Weston, N. J., &Shanks, D. R. (2003). Empirical tests of a fast-and-frugal heuristic: Not everyone “takes-the-best”.Organizational Behavior & Human Decision Processes,91, 82–96.
Payne, J. W., Bettman, J. R., &Johnson, E. J. (1993).The adaptive decision maker. Cambridge: Cambridge University Press.
Rieskamp, J., &Hoffrage, U. (1999). When do people use simple heuristics, and how can we tell? In G. Gigerenzer, P. M. Todd, & the ABC Research Group,Simple heuristics that make us smart (pp. 141–167). New York: Oxford University Press.