The formation of preference in risky choice
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Marius Usher | Ernst Niebur | Moshe Glickman | Veit Stuphorn | Orian Sharoni | Dino J Levy | Dino J. Levy | E. Niebur | M. Usher | V. Stuphorn | Moshe Glickman | Orian Sharoni
[1] Neil Stewart. EPS Prize Lecture: Decision by sampling: The role of the decision environment in risky choice , 2009, Quarterly journal of experimental psychology.
[2] Alexandre Pouget,et al. Optimal policy for value-based decision-making , 2016, Nature Communications.
[3] M. Birnbaum,et al. New Paradoxes of Risky Decision Making , 2022 .
[4] Marius Usher,et al. Attentional Selection Mediates Framing and Risk-Bias Effects , 2018, Psychological science.
[5] R. Luce,et al. Individual Choice Behavior: A Theoretical Analysis. , 1960 .
[6] A. Tversky,et al. Prospect theory: analysis of decision under risk , 1979 .
[7] A. Glöckner,et al. What is adaptive about adaptive decision making? A parallel constraint satisfaction account , 2014, Cognition.
[8] Brandon M. Turner,et al. Some task demands induce collapsing bounds: Evidence from a behavioral analysis , 2018, Psychonomic Bulletin & Review.
[9] P. Glimcher,et al. Neuroeconomics: The Consilience of Brain and Decision , 2004, Science.
[10] A. Pouget,et al. The Cost of Accumulating Evidence in Perceptual Decision Making , 2012, The Journal of Neuroscience.
[11] Gordon D. A. Brown,et al. Decision by sampling , 2006, Cognitive Psychology.
[12] Sheryl B. Ball,et al. It’s not what you see but how you see it: Using eye-tracking to study the risky decision-making process. , 2016 .
[13] Andreas Glöckner,et al. Cognitive models of risky choice: Parameter stability and predictive accuracy of prospect theory , 2012, Cognition.
[14] D. Kumaran,et al. The Neurobiology of Reference-Dependent Value Computation , 2009, NeuroImage.
[15] R. Poldrack,et al. Prospect Theory and the Brain , 2009 .
[16] A. Tversky. Intransitivity of preferences. , 1969 .
[17] S. S. Stevens. On the psychophysical law. , 1957, Psychological review.
[18] J. Rieskamp. The probabilistic nature of preferential choice. , 2008, Journal of experimental psychology. Learning, memory, and cognition.
[19] Pietro Perona,et al. The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making , 2017, Front. Neurosci..
[20] A. Glöckner,et al. Multiple-reason decision making based on automatic processing. , 2008, Journal of experimental psychology. Learning, memory, and cognition.
[21] Andreas Glöckner,et al. Decisions beyond boundaries: when more information is processed faster than less. , 2012, Acta psychologica.
[22] M. Usher,et al. Fast and effective: Intuitive processes in complex decisions , 2018, Psychonomic Bulletin & Review.
[23] John W. Payne,et al. Task complexity and contingent processing in decision making: An information search and protocol analysis☆ , 1976 .
[24] Marius Usher,et al. Disentangling decision models: from independence to competition. , 2013, Psychological review.
[25] Christof Koch,et al. The Drift Diffusion Model Can Account for the Accuracy and Reaction Time of Value-Based Choices Under High and Low Time Pressure , 2010, Judgment and Decision Making.
[26] Wim Fias,et al. Interacting neighbors: A connectionist model of retrieval in single-digit multiplication , 2005, Memory & cognition.
[27] A. Rangel,et al. Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions , 2011, Proceedings of the National Academy of Sciences.
[28] B. Dosher,et al. Strategies for multiattribute binary choice. , 1983, Journal of experimental psychology. Learning, memory, and cognition.
[29] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[30] Joseph W. Kable,et al. Preference Reversals in Decision Making Under Risk are Accompanied by Changes in Attention to Different Attributes , 2012, Front. Neurosci..
[31] I. Krajbich,et al. Attention and Choice Across Domains , 2018, Journal of experimental psychology. General.
[32] S. Shimojo,et al. Gaze bias both reflects and influences preference , 2003, Nature Neuroscience.
[33] James L. McClelland,et al. Loss aversion and inhibition in dynamical models of multialternative choice. , 2004, Psychological review.
[34] Roger Ratcliff,et al. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks , 2008, Neural Computation.
[35] A. Tversky,et al. Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .
[36] Nick Chater,et al. Economic irrationality is optimal during noisy decision making , 2016, Proceedings of the National Academy of Sciences.
[37] F. Hermens,et al. Eye Movements in Risky Choice , 2015, Journal of behavioral decision making.
[38] Peter N. C. Mohr,et al. Gaze bias differences capture individual choice behaviour , 2019, Nature Human Behaviour.
[39] Gerd Gigerenzer,et al. Risky choice with heuristics: reply to Birnbaum (2008), Johnson, Schulte-Mecklenbeck, and Willemsen (2008), and Rieger and Wang (2008). , 2008, Psychological review.
[40] Joseph G. Johnson,et al. A computational model of the attention process in risky choice. , 2016 .
[41] R. Hertwig,et al. The priority heuristic: making choices without trade-offs. , 2006, Psychological review.
[42] L. J. Savage,et al. The Foundations of Statistics , 1955 .
[43] Andreas Glöckner,et al. An eye‐tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes , 2011 .
[44] A. Tversky,et al. Advances in prospect theory: Cumulative representation of uncertainty , 1992 .
[45] Mark C. W. van Rossum,et al. Accurate multiplication with noisy spiking neurons , 2011, Journal of neural engineering.
[46] Jacob L. Orquin,et al. Attention and choice: a review on eye movements in decision making. , 2013, Acta psychologica.
[47] Richard Gonzalez,et al. On the Shape of the Probability Weighting Function , 1999, Cognitive Psychology.
[48] Postscript: Rejoinder to Brandstatter, Gigerenzer, and Hertwig (2006) , 2008 .
[49] M. Woolrich,et al. Mechanisms underlying cortical activity during value-guided choice , 2011, Nature Neuroscience.
[50] Scott D. Brown,et al. Revisiting the Evidence for Collapsing Boundaries and Urgency Signals in Perceptual Decision-Making , 2015, The Journal of Neuroscience.
[51] Geoffrey Fisher. An attentional drift diffusion model over binary-attribute choice , 2017, Cognition.
[52] James L. McClelland,et al. The time course of perceptual choice: the leaky, competing accumulator model. , 2001, Psychological review.
[53] J. Townsend,et al. Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.
[54] James L. McClelland,et al. Distributed memory and the representation of general and specific information. , 1985, Journal of experimental psychology. General.
[55] W. Thorngate. Efficient decision heuristics. , 1980 .
[56] Ariel Rubinstein,et al. Tracking Decision Makers under Uncertainty , 2011 .
[57] R. Hertwig,et al. Prospect Theory Reflects Selective Allocation of Attention , 2018, Journal of experimental psychology. General.
[58] J. Gold,et al. Neural computations that underlie decisions about sensory stimuli , 2001, Trends in Cognitive Sciences.
[59] Scott D. Brown,et al. Diffusion Decision Model: Current Issues and History , 2016, Trends in Cognitive Sciences.
[60] Eric J. Johnson,et al. Adaptive Strategy Selection in Decision Making. , 1988 .
[61] D. Ariely,et al. In Search of Homo Economicus: Cognitive Noise and the Role of Emotion in Preference Consistency , 2009 .
[62] Andreas Glöckner,et al. The Dynamics of Decision Making in Risky Choice: An Eye-Tracking Analysis , 2012, Front. Psychology.
[63] Nick Chater,et al. Salience driven value integration explains decision biases and preference reversal , 2012, Proceedings of the National Academy of Sciences.
[64] Ian Krajbich,et al. Visual fixations and the computation and comparison of value in simple choice , 2010, Nature Neuroscience.
[65] Brian P. Dyre,et al. Bias in proportion judgments: the cyclical power model. , 2000, Psychological review.
[66] Neil Stewart,et al. A decision-by-sampling account of decision under risk , 2008 .
[67] M. Usher,et al. Integration to boundary in decisions between numerical sequences , 2019, Cognition.
[68] Colin Camerer,et al. The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions , 2012, Front. Psychology.
[69] C. H. Coombs,et al. Mathematical psychology : an elementary introduction , 1970 .
[70] E. Spelke,et al. Language and Conceptual Development series Core systems of number , 2004 .
[71] Eric J. Johnson,et al. Search predicts and changes patience in intertemporal choice , 2017, Proceedings of the National Academy of Sciences.
[72] C. Koch,et al. Simultaneous modeling of visual saliency and value computation improves predictions of economic choice , 2013, Proceedings of the National Academy of Sciences.
[73] Timothy L. Mullett,et al. Implications of Visual Attention Phenomena for Models of Preferential Choice , 2016, Decision.
[74] Jerome R. Busemeyer,et al. Psychological models of deferred decision making , 1988 .
[75] Patryk A. Laurent,et al. Value-driven attentional capture , 2011, Proceedings of the National Academy of Sciences.
[76] D. McFadden. Econometric Models of Probabilistic Choice , 1981 .
[77] C. Koch,et al. Relative visual saliency differences induce sizable bias in consumer choice , 2012 .
[78] E. Brandstätter,et al. Attention in risky choice. , 2014, Acta psychologica.
[79] K.-Y. Choi,et al. Spin–orbit coupled molecular quantum magnetism realized in inorganic solid , 2016, Nature Communications.