Fast, frugal, and fit: Simple heuristics for paired comparison

[1]  Michael Schmitt,et al.  Simplicity and Robustness of Fast and Frugal Heuristics , 1999, Minds and Machines.

[2]  Robert C. Holte,et al.  Very Simple Classification Rules Perform Well on Most Commonly Used Datasets , 1993, Machine Learning.

[3]  Ronald L. Rivest,et al.  Learning decision lists , 2004, Machine Learning.

[4]  Laura Martignon,et al.  Can L'Homme Eclaire Be Fast and Frugal? Reconciling Bayesianism and Bounded Rationality , 2003 .

[5]  O. Curry.  Bounded Rationality : The Adaptive Toolbox , 2003 .

[6]  Mandeep K. Dhami,et al.  Fast and frugal versus regression models of human judgement , 2001 .

[7]  Gerd Gigerenzer,et al.  Communicating Statistical Information , 2000, Science.

[8]  Gerd Gigerenzer,et al.  How can we open up the adaptive toolbox , 2000 .

[9]  A. Bröder.  Assessing the empirical validity of the "take-the-best" heuristic as a model of human probabilistic inference. , 2000, Journal of experimental psychology. Learning, memory, and cognition.

[10]  G Gigerenzer,et al.  Hindsight bias: a by-product of knowledge updating? , 2000, Journal of experimental psychology. Learning, memory, and cognition.

[11]  Slegers,et al.  Probabilistic Mental Models with Continuous Predictors. , 2000, Organizational behavior and human decision processes.

[12]  Ulrich Hoffrage,et al.  Simplifying Bayesian Inference: The General Case , 1999 .

[13]  D. Goldstein,et al.  How good are simple heuristics , 1999 .

[14]  P. Todd,et al.  Simple Heuristics That Make Us Smart , 1999 .

[15]  Gerd Gigerenzer,et al.  Can ignorance beat the stock market , 1999 .

[16]  L. Martignon,et al.  Weighing, then summing: The triumph and tumbling of a modeling practice in psychology , 1999 .

[17]  Ulrich Hoffrage,et al.  Why does one-reason decision making work? A case study in ecological rationality , 1999 .

[18]  G. Gigerenzer,et al.  How good are fast and frugal heuristics , 1999 .

[19]  Kathryn B. Laskey,et al.  Bayesian benchmarks for fast and frugal heuristics , 1999 .

[20]  Ulrich Hoffrage,et al.  When do people use simple heuristics, and how can we tell? , 1999 .

[21]  L. Wasserman,et al.  Computing Bayes Factors by Combining Simulation and Asymptotic Approximations , 1997 .

[22]  Nir Friedman,et al.  Learning Bayesian Networks with Local Structure , 1996, UAI.

[23]  G Gigerenzer,et al.  Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.

[24]  Ray W. Cooksey,et al.  Judgment analysis : theory, methods, and applications , 1996 .

[25]  Gerd Gigerenzer,et al.  How to Improve Bayesian Reasoning Without Instruction: Frequency Formats , 1995 .

[26]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[27]  G. Gigerenzer,et al.  Probabilistic mental models: a Brunswikian theory of confidence. , 1991, Psychological review.

[28]  Gregory F. Cooper,et al.  The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..

[29]  Eric J. Johnson,et al.  Adaptive Strategy Selection in Decision Making. , 1988 .

[30]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems , 1988 .

[31]  L Hasher,et al.  Automatic processing of fundamental information: the case of frequency of occurrence. , 1984, The American psychologist.

[32]  Gerd Gigerenzer,et al.  Messung und Modellbildung in der Psychologie , 1981 .

[33]  R. Dawes.  Judgment under uncertainty: The robust beauty of improper linear models in decision making , 1979 .

[34]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[35]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[36]  R. Dawes,et al.  Linear models in decision making. , 1974 .