Decisions from experience: Why small samples?

[1]  F. Urban The method of constant stimuli and its generalizations. , 1910 .

[2]  F. Knight The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .

[3]  Frederick Mosteller,et al.  An Experimental Measurement of Utility , 1951, Journal of Political Economy.

[4]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[5]  George S. Avrunin,et al.  Single-Peaked Functions and the Theory of Preference. , 1977 .

[6]  Bernd Heinrich,et al.  "Majoring" and "Minoring" by Foraging Bumblebees, Bombus Vagans: An Experimental Analysis , 1979 .

[7]  V. Smith Microeconomic Systems as an Experimental Science , 1982 .

[8]  H. Simon,et al.  Reason in Human Affairs. , 1984 .

[9]  A. Houston,et al.  Optimal foraging and learning , 1985 .

[10]  D. Krantz,et al.  The effects of statistical training on thinking about everyday problems , 1986, Cognitive Psychology.

[11]  W. Edwards,et al.  Decision Analysis and Behavioral Research , 1986 .

[12]  A I Houston,et al.  Memory and the efficient use of information. , 1987, Journal of theoretical biology.

[13]  L. Daston Classical Probability in the Enlightenment , 1988 .

[14]  John Beatty,et al.  The Empire of Chance: How Probability Changed Science and Everyday Life , 1989 .

[15]  G. Harrison Theory and Misbehavior of First-Price Auctions , 1989 .

[16]  L A Real,et al.  Animal choice behavior and the evolution of cognitive architecture , 1991, Science.

[17]  A. Tversky,et al.  The weighing of evidence and the determinants of confidence , 1992, Cognitive Psychology.

[18]  L. Real Information Processing and the Evolutionary Ecology of Cognitive Architecture , 1992, The American Naturalist.

[19]  Glenn W. Harrison,et al.  Theory and Misbehavior of First-Price Auctions: Reply , 1992 .

[20]  J. Townsend,et al.  Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.

[21]  Y. Kareev Through a narrow window: working memory capacity and the detection of covariation , 1995, Cognition.

[22]  Gerd Gigerenzer,et al.  Intuitions About Sample Size: The Empirical Law of Large Numbers , 1997 .

[23]  J. Roughgarden,et al.  Testing predictions of foraging theory for a sit-and-wait forager, Anolis gingivinus , 1998 .

[24]  James Shanteau,et al.  Fast and frugal heuristics: What about unfriendly environments? , 2000 .

[25]  Y. Kareev Seven (indeed, plus or minus two) and the detection of correlations. , 2000, Psychological review.

[26]  D. Budescu,et al.  Averaging probability judgments: Monte Carlo analyses of asymptotic diagnostic value , 2001 .

[27]  Dirk van Rijn,et al.  Proceedings of the 31st annual conference of the Cognitive Science Society , 2003 .

[28]  I. Erev,et al.  Small feedback‐based decisions and their limited correspondence to description‐based decisions , 2003 .

[29]  E. Weber,et al.  Predicting Risk-Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation , 2004, Psychological review.

[30]  R. Hertwig,et al.  Decisions from Experience and the Effect of Rare Events in Risky Choice , 2004, Psychological science.

[31]  Anderson Sample Size 1 Running Head : DETECTION OF CORRELATION SAMPLE SIZE AND THE DETECTION OF CORRELATION : A SIGNAL DETECTION ACCOUNT , 2004 .

[32]  Henrik Olsson,et al.  Capacity limitations and the detection of correlations: comment on Kareev (2000). , 2005, Psychological review.

[33]  I. Erev,et al.  On adaptation, maximization, and reinforcement learning among cognitive strategies. , 2005, Psychological review.

[34]  Y. Kareev And Yet the Small-Sample Effect Does Hold: Reply to Juslin and Olsson (2005) and Anderson, Doherty, Berg, and Friedrich (2005). , 2005 .

[35]  Michael E Doherty,et al.  Sample size and the detection of correlation--a signal detection account: comment on Kareev (2000) and Juslin and Olsson (2005). , 2005, Psychological review.

[36]  R. Hertwig,et al.  Judgments of risk frequencies: tests of possible cognitive mechanisms. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[37]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[38]  Klaus Fiedler,et al.  Information Sampling and Adaptive Cognition , 2005 .

[39]  Klaus Fiedler,et al.  Less Is More in Covariation Detection – Or Is It? , 2005 .

[40]  R. Hertwig,et al.  The priority heuristic: making choices without trade-offs. , 2006, Psychological review.

[41]  K. Fiedler,et al.  Does decision quality (always) increase with the size of information samples? Some vicissitudes in applying the law of large numbers. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[42]  Craig R. Fox,et al.  “Decisions from experience” = sampling error + prospect theory: Reconsidering Hertwig, Barron, Weber & Erev (2004) , 2006, Judgment and Decision Making.

[43]  Thorsten Pachur,et al.  On the psychology of the recognition heuristic: retrieval primacy as a key determinant of its use. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[44]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[45]  Timothy J. Pleskac,et al.  The Description-Experience Gap in Risky Choice: The Role of Sample Size and Experienced Probabilities , 2008 .

[46]  Ralph Hertwig,et al.  What impacts the impact of rare events , 2008 .

[47]  Timothy J. Pleskac,et al.  The game of life : how small samples render choice simpler , 2008 .

[48]  N. Chater,et al.  The probabilistic mind: prospects for Bayesian cognitive science , 2008 .

[49]  B. Newell,et al.  Biased samples not mode of presentation: Re-examining the apparent underweighting of rare events in experience-based choice , 2008 .

[50]  R. Hogarth,et al.  Satisfaction in choice as a function of the number of alternatives: When “goods satiate” , 2009 .

[51]  N. Chater,et al.  Are Probabilities Overweighted or Underweighted When Rare Outcomes Are Experienced (Rarely)? , 2009, Psychological science.

[52]  R. Hertwig,et al.  The description–experience gap in risky choice , 2009, Trends in Cognitive Sciences.

[53]  Ben R. Newell,et al.  Degrees of uncertainty: An overview and framework for future research on experience‐based choice , 2010 .

[54]  Timothy J. Pleskac,et al.  Decisions From Experience and Statistical Probabilities: Why They Trigger Different Choices Than a Priori Probabilities , 2010 .