Toolbox or adjustable spanner? A critical comparison of two metaphors for adaptive decision making.
暂无分享,去创建一个
[1] Adele Diederich,et al. Sequential sampling model for multiattribute choice alternatives with random attention time and processing order , 2014, Front. Hum. Neurosci..
[2] A. Bröder,et al. Single-process versus multiple-strategy models of decision making: evidence from an information intrusion paradigm. , 2014, Acta psychologica.
[3] M. Lee,et al. Evaluating the coherence of Take-the-best in structured environments , 2012, Judgment and Decision Making.
[4] Colin Camerer,et al. The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions , 2012, Front. Psychology.
[5] B. Newell,et al. The Right Tool for the Job? Comparing an Evidence Accumulation and a Naive Strategy Selection Model of Decision Making , 2011 .
[6] A. Glöckner,et al. The empirical content of theories in judgment and decision making: Shortcomings and remedies , 2011, Judgment and Decision Making.
[7] Julian N. Marewski,et al. Cognitive niches: an ecological model of strategy selection. , 2011, Psychological review.
[8] Gerd Gigerenzer,et al. Heuristic decision making. , 2011, Annual review of psychology.
[9] Julian N. Marewski. On the theoretical precision and strategy selection problem of a single-strategy approach: A comment on Glockner, Betsch, and Schindler (2010). , 2010 .
[10] Andreas Glöckner,et al. Intuition in Judgment and Decision Making: Extensive Thinking Without Effort , 2010 .
[11] Anja Dieckmann,et al. Compensatory versus noncompensatory models for predicting consumer preferences , 2009, Judgment and Decision Making.
[12] A. Glöckner. Investigating intuitive and deliberate processes statistically: The multiple-measure maximum likelihood strategy classification method , 2009, Judgment and Decision Making.
[13] Adam N. Sanborn,et al. Model evaluation using grouped or individual data , 2008, Psychonomic bulletin & review.
[14] Julian N. Marewski,et al. The recognition heuristic in memory‐based inference: is recognition a non‐compensatory cue? , 2008 .
[15] Arndt Bröder,et al. Cognitive processes, models and metaphors in decision research , 2008, Judgment and Decision Making.
[16] Roger Ratcliff,et al. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks , 2008, Neural Computation.
[17] J. Busemeyer,et al. Computational Models of Decision Making , 2008 .
[18] Andreas Glöckner,et al. Modeling Option and Strategy Choices with Connectionist Networks: Towards an Integrative Model of Automatic and Deliberate Decision Making , 2008, Judgment and Decision Making.
[19] Jörg Rieskamp,et al. The influence of information redundancy on probabilistic inferences , 2007, Memory & cognition.
[20] Jörg Rieskamp,et al. Perspectives of probabilistic inferences: Reinforcement learning and an adaptive network compared. , 2006, Journal of experimental psychology. Learning, memory, and cognition.
[21] Rudolf N. Cardinal,et al. Neural systems implicated in delayed and probabilistic reinforcement , 2006, Neural Networks.
[22] Arndt Bröder,et al. Stimulus format and working memory in fast and frugal strategy selection , 2006 .
[23] A. Bröder,et al. Adaptive flexibility and maladaptive routines in selecting fast and frugal decision strategies. , 2006, Journal of experimental psychology. Learning, memory, and cognition.
[24] J. Rieskamp,et al. SSL: a theory of how people learn to select strategies. , 2006, Journal of experimental psychology. General.
[25] B. Newell,et al. Evaluating three criteria for establishing cue-search hierarchies in inferential judgment. , 2005, Journal of experimental psychology. Learning, memory, and cognition.
[26] B. Newell. Re-visions of rationality? , 2005, Trends in Cognitive Sciences.
[27] Philip L. Smith,et al. A comparison of sequential sampling models for two-choice reaction time. , 2004, Psychological review.
[28] Arndt Bröder,et al. Bayesian strategy assessment in multi‐attribute decision making , 2003 .
[29] A. Bröder,et al. Take the best versus simultaneous feature matching: probabilistic inferences from memory and effects of representation format. , 2003, Journal of experimental psychology. General.
[30] Adele Diederich,et al. Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time , 2003 .
[31] K. Holyoak,et al. Structural Dynamics of Cognition: From Consistency Theories to Constraint Satisfaction , 2002 .
[32] A. Diederich,et al. Survey of decision field theory , 2002, Math. Soc. Sci..
[33] James L. McClelland,et al. The time course of perceptual choice: the leaky, competing accumulator model. , 2001, Psychological review.
[34] Diederich,et al. Dynamic Stochastic Models for Decision Making under Time Constraints , 1997, Journal of mathematical psychology.
[35] J. Townsend,et al. Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.
[36] G. Gigerenzer,et al. Probabilistic mental models: a Brunswikian theory of confidence. , 1991, Psychological review.
[37] Jerome R. Busemeyer,et al. Psychological models of deferred decision making , 1988 .
[38] A. Albert,et al. On the existence of maximum likelihood estimates in logistic regression models , 1984 .
[39] O. Svenson. Process descriptions of decision making. , 1979 .
[40] L. Beach,et al. A Contingency Model for the Selection of Decision Strategies , 1978 .
[41] Roger Ratcliff,et al. A Theory of Memory Retrieval. , 1978 .
[42] John W. Payne,et al. Task complexity and contingent processing in decision making: An information search and protocol analysis☆ , 1976 .
[43] Ben R. Newell,et al. Modeling the Adaptation of Search Termination in Human Decision Making , 2014 .
[44] Jörg Rieskamp,et al. Testing adaptive toolbox models: a Bayesian hierarchical approach. , 2013, Psychological review.
[45] Gerd Gigerenzer,et al. Efficient cognition through limited research , 2012 .
[46] Andreas Glöckner,et al. An eye‐tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes , 2011 .
[47] B. Newell,et al. Learning to adapt evidence thresholds in decision making , 2009 .
[48] Gerd Gigerenzer,et al. Homo Heuristicus: Why Biased Minds Make Better Inferences , 2009, Top. Cogn. Sci..
[49] R. Nosofsky,et al. A response-time approach to comparing generalized rational and take-the-best models of decision making. , 2007, Journal of experimental psychology. Learning, memory, and cognition.
[50] Ulrich Hoffrage,et al. When do people use simple heuristics, and how can we tell? , 1999 .
[51] D. Goldstein,et al. Betting on one good reason : The Take the Best heuristic , 1999 .
[52] Gerd Gigerenzer,et al. Fast and frugal heuristics: The adaptive toolbox. , 1999 .
[53] D. Goldstein,et al. How good are simple heuristics , 1999 .
[54] P. Thagard,et al. Inference to the best plan: A coherence theory of decision. , 1997 .
[55] G Gigerenzer,et al. Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.
[56] John W. Payne,et al. The adaptive decision maker: Name index , 1993 .
[57] D. Vickers. Decision processes in visual perception , 1979 .
[58] D. Vickers,et al. Evidence for an accumulator model of psychophysical discrimination. , 1970, Ergonomics.
[59] Daniel Hausmann,et al. Sequential Evidence Accumulation in Decision Making: the Individual Desired Level of Confidence Can Explain the Extent of Information Acquisition , 2022 .