What is adaptive about adaptive decision making? A parallel constraint satisfaction account

[1]  K. Popper,et al.  Logik der Forschung , 1935 .

[2]  E. Brunswik,et al.  The Conceptual Framework of Psychology , 1954 .

[3]  E. Brunswik.  Representative design and probabilistic theory in a functional psychology. , 1955, Psychological review.

[4]  H. Simon,et al.  Rational choice and the structure of the environment. , 1956, Psychological review.

[5]  E. Brunswik.  Perception and the Representative Design of Psychological Experiments , 1957 .

[6]  M. Stone.  Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[7]  M. Just,et al.  Eye fixations and cognitive processes , 1976, Cognitive Psychology.

[8]  L. Beach,et al.  A Contingency Model for the Selection of Decision Strategies , 1978 .

[9]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[10]  James L. McClelland,et al.  An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .

[11]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Douglas L. Hintzman,et al.  MINERVA 2: A simulation model of human memory , 1984 .

[13]  Geoffrey E. Hinton,et al.  A general framework for parallel distributed processing , 1986 .

[14]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

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

[16]  Paul Thagard,et al.  Analogical Mapping by Constraint Satisfaction , 1989, Cogn. Sci..

[17]  Russell H. Fazio,et al.  A practical guide to the use of response latency in social psychological research. , 1990 .

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

[19]  John R. Anderson.  Is human cognition adaptive? , 1991, Behavioral and Brain Sciences.

[20]  J. Kruschke,et al.  ALCOVE: an exemplar-based connectionist model of category learning. , 1992, Psychological review.

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

[22]  P. Thagard,et al.  Explanatory coherence , 1993 .

[23]  Jorge Nocedal,et al.  A Limited Memory Algorithm for Bound Constrained Optimization , 1995, SIAM J. Sci. Comput..

[24]  P. Thagard,et al.  FORMING IMPRESSIONS FROM STEREOTYPES, TRAITS, AND BEHAVIORS : A PARALLEL-CONSTRAINT-SATISFACTION THEORY , 1996 .

[25]  M. F. Luce,et al.  When time is money : Decision behavior under opportunity-cost time pressure , 1996 .

[26]  T. Shultz,et al.  Cognitive dissonance reduction as constraint satisfaction. , 1996, Psychological review.

[27]  Margaret G. Meloy,et al.  The Distortion of Information during Decisions , 1996 .

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

[29]  S. Read,et al.  Connectionism, Parallel Constraint Satisfaction Processes, and Gestalt Principles: (Re)Introducing Cognitive Dynamics to Social Psychology , 1997, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[30]  P. Thagard,et al.  Probabilistic Networks and Explanatory Coherence. , 1997 .

[31]  Paul Thagard,et al.  Coherence as Constraint Satisfaction , 2019, Cogn. Sci..

[32]  K. Holyoak,et al.  Bidirectional reasoning in decision making by constraint satisfaction , 1999 .

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

[34]  C. Gettys,et al.  MINERVA-DM: A memory processes model for judgments of likelihood. , 1999 .

[35]  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.

[36]  Wasserman,et al.  Bayesian Model Selection and Model Averaging. , 2000, Journal of mathematical psychology.

[37]  Iver Mysterud,et al.  Take the best , 2000 .

[38]  H Pashler,et al.  How persuasive is a good fit? A comment on theory testing. , 2000, Psychological review.

[39]  I. J. Myung,et al.  The Importance of Complexity in Model Selection. , 2000, Journal of mathematical psychology.

[40]  K. Fiedler.  Beware of samples! A cognitive-ecological sampling approach to judgment biases. , 2000, Psychological review.

[41]  James L. McClelland,et al.  The time course of perceptual choice: the leaky, competing accumulator model. , 2001, Psychological review.

[42]  J. E. Russo,et al.  Biased interpretation of evidence by mock jurors. , 2001, Journal of experimental psychology. Applied.

[43]  Mark A. Pitt,et al.  Toward a method of selecting among computational models of cognition. , 2002 .

[44]  I. J. Myung,et al.  When a good fit can be bad , 2002, Trends in Cognitive Sciences.

[45]  A. Diederich.  MDFT account of decision making under time pressure , 2003, Psychonomic Bulletin & Review.

[46]  Nick Chater,et al.  Fast, frugal, and rational: How rational norms explain behavior , 2003 .

[47]  A. Bröder.  Decision making with the "adaptive toolbox": influence of environmental structure, intelligence, and working memory load. , 2003, Journal of experimental psychology. Learning, memory, and cognition.

[48]  B. Newell,et al.  Take the best or look at the rest? Factors influencing "one-reason" decision making. , 2003, Journal of experimental psychology. Learning, memory, and cognition.

[49]  B. Newell,et al.  Empirical tests of a fast-and-frugal heuristic: Not everyone "takes-the-best" , 2003 .

[50]  Arndt Bröder,et al.  Bayesian strategy assessment in multi‐attribute decision making , 2003 .

[51]  A. Brownstein,et al.  Biased predecision processing. , 2003, Psychological bulletin.

[52]  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.

[53]  D. Simon.  A Third View of the Black Box: Cognitive Coherence in Legal Decision Making , 2004 .

[54]  Keith J. Holyoak,et al.  PSYCHOLOGICAL SCIENCE Research Article Construction of Preferences by Constraint Satisfaction , 2022 .

[55]  M. Lee,et al.  Evidence accumulation in decision making: Unifying the “take the best” and the “rational” models , 2004, Psychonomic bulletin & review.

[56]  S. Read,et al.  The redux of cognitive consistency theories: evidence judgments by constraint satisfaction. , 2004, Journal of personality and social psychology.

[57]  Gerd Gigerenzer,et al.  Fast and frugal heuristics: The tools of bounded rationality , 2004 .

[58]  Nick Chater,et al.  The Rational Analysis Of Mind And Behavior , 2000, Synthese.

[59]  James L. McClelland,et al.  Loss aversion and inhibition in dynamical models of multialternative choice. , 2004, Psychological review.

[60]  S. Read,et al.  Bias at the Racetrack: Effects of Individual Expertise and Task Importance on Predecision Reevaluation of Alternatives , 2004, Personality & social psychology bulletin.

[61]  Ben Greiner,et al.  An Online Recruitment System for Economic Experiments , 2004 .

[62]  B. Newell.  Re-visions of rationality? , 2005, Trends in Cognitive Sciences.

[63]  Paul Thagard,et al.  Evaluating Explanations in Law, Science, and Everyday Life , 2006 .

[64]  Rüdiger F. Pohl,et al.  Empirical tests of the recognition heuristic , 2006 .

[65]  James T. Townsend,et al.  Building bridges between neural models and complex decision making behaviour , 2006, Neural Networks.

[66]  Jörg Rieskamp,et al.  Perspectives of probabilistic inferences: Reinforcement learning and an adaptive network compared. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[67]  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.

[68]  Arndt Bröder,et al.  Stimulus format and working memory in fast and frugal strategy selection , 2006 .

[69]  J. Rieskamp,et al.  SSL: a theory of how people learn to select strategies. , 2006, Journal of experimental psychology. General.

[70]  J. Edward Russo,et al.  Information distortion in the evaluation of a single option , 2007 .

[71]  E. Wagenmakers.  A practical solution to the pervasive problems ofp values , 2007, Psychonomic bulletin & review.

[72]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[73]  W. Gaissmaier,et al.  Sequential processing of cues in memory-based multiattribute decisions , 2007, Psychonomic bulletin & review.

[74]  Adjusting the Spanner: Testing an Evidence Accumulation Model of Decision Making , 2007 .

[75]  R. Hogarth,et al.  Heuristic and linear models of judgment: matching rules and environments. , 2007, Psychological review.

[76]  Arndt Bröder,et al.  Challenging some common beliefs: Empirical work within the adaptive toolbox metaphor , 2008, Judgment and Decision Making.

[77]  Roger Ratcliff,et al.  The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks , 2008, Neural Computation.

[78]  Jerome R. Busemeyer,et al.  Computational Models of Decision Making , 2003 .

[79]  B. Hilbig.  Individual differences in fast-and-frugal decision making : neuroticism and the recognition heuristic , 2008 .

[80]  Arndt Bröder,et al.  Cognitive processes, models and metaphors in decision research , 2008, Judgment and Decision Making.

[81]  Ulrich Hoffrage,et al.  Inferences under time pressure: how opportunity costs affect strategy selection. , 2008, Acta psychologica.

[82]  J. Rieskamp.  The importance of learning when making inferences , 2008, Judgment and Decision Making.

[83]  Daniel Hausmann,et al.  Sequential evidence accumulation in decision making: The individual desired level of confidence can explain the extent of information acquisition , 2008, Judgment and Decision Making.

[84]  Julian N. Marewski,et al.  Fast and Frugal Heuristics Are Plausible Models of Cognition: Reply To , 2022 .

[85]  A. Glöckner,et al.  Multiple-reason decision making based on automatic processing. , 2008, Journal of experimental psychology. Learning, memory, and cognition.

[86]  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.

[87]  A. Glöckner,et al.  A Fine-Grained Analysis of the Jumping to Conclusions Bias in Schizophrenia: Data-Gathering, Response Confidence, and Information Integration , 2008, Judgment and Decision Making.

[88]  Eric J. Johnson,et al.  Mindful judgment and decision making. , 2009, Annual review of psychology.

[89]  Sara D. Hodges,et al.  Parallel Constraint Satisfaction in Memory-Based Decisions , 2009 .

[90]  Benjamin E. Hilbig,et al.  Ignorance- versus evidence-based decision making: a decision time analysis of the recognition heuristic. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[91]  A. Glöckner,et al.  Coherence Shifts in Probabilistic Inference Tasks , 2009 .

[92]  M. Dekay,et al.  Distortion of Probability and Outcome Information in Risky Decisions. , 2009 .

[93]  A. Glöckner.  Investigating intuitive and deliberate processes statistically: The multiple-measure maximum likelihood strategy classification method , 2009, Judgment and Decision Making.

[94]  A. Glöckner,et al.  Beyond dual-process models: A categorisation of processes underlying intuitive judgement and decision making , 2010 .

[95]  Benjamin E. Hilbig,et al.  Reconsidering “evidence” for fast-and-frugal heuristics , 2010, Psychonomic bulletin & review.

[96]  Marc Jekel,et al.  Implementation of the multiple-measure maximum likelihood strategy classification in R , 2010 .

[97]  Andreas Glöckner,et al.  Accounting for critical evidence while being precise and avoiding the strategy selection problem in a parallel constraint satisfaction approach – A reply to Marewski , 2010 .

[98]  Andreas Glöckner,et al.  Intuition in Judgment and Decision Making: Extensive Thinking Without Effort , 2010 .

[99]  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 .

[100]  Timothy J. Pleskac,et al.  Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. , 2010, Psychological review.

[101]  James L. McClelland,et al.  Letting structure emerge: connectionist and dynamical systems approaches to cognition , 2010, Trends in Cognitive Sciences.

[102]  Edgar Erdfelder,et al.  One-reason decision making unveiled: a measurement model of the recognition heuristic. , 2010, Journal of experimental psychology. Learning, memory, and cognition.

[103]  K. Fiedler.  How to study cognitive decision algorithms: The case of the priority heuristic , 2010, Judgment and Decision Making.

[104]  Andreas Glöckner,et al.  Physiological arousal in processing recognition information: Ignoring or integrating cognitive cues? , 2010, Judgment and Decision Making.

[105]  Jennifer S Trueblood,et al.  A quantum theoretical explanation for probability judgment errors. , 2011, Psychological review.

[106]  Andreas Glöckner,et al.  Processing of recognition information and additional cues: A model-based analysis of choice, confidence, and response time , 2011, Judgment and Decision Making.

[107]  Andreas Glöckner,et al.  An eye‐tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes , 2011 .

[108]  Gerd Gigerenzer,et al.  Heuristic decision making. , 2011, Annual review of psychology.

[109]  Clintin P. Davis-Stober,et al.  A shift in strategy or “error”? Strategy classification over multiple stochastic specifications , 2011, Judgment and Decision Making.

[110]  N. Ambady,et al.  A dynamic interactive theory of person construal. , 2011, Psychological review.

[111]  A. Glöckner,et al.  The empirical content of theories in judgment and decision making: Shortcomings and remedies , 2011, Judgment and Decision Making.

[112]  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.

[113]  B. Newell,et al.  The Right Tool for the Job? Comparing an Evidence Accumulation and a Naive Strategy Selection Model of Decision Making , 2011 .

[114]  B. Hilbig,et al.  Methodological notes on model comparisons and strategy classification: A falsificationist proposition , 2011, Judgment and Decision Making.

[115]  Andreas Glöckner,et al.  The Dynamics of Decision Making in Risky Choice: An Eye-Tracking Analysis , 2012, Front. Psychology.

[116]  Frank Renkewitz,et al.  Memory indexing: a novel method for tracing memory processes in complex cognitive tasks. , 2012, Journal of experimental psychology. Learning, memory, and cognition.

[117]  Andreas Glöckner,et al.  Network approaches for expert decisions in sports. , 2012, Human movement science.

[118]  Andreas Glöckner,et al.  Decisions beyond boundaries: when more information is processed faster than less. , 2012, Acta psychologica.

[119]  Andreas Glöckner,et al.  Cognitive models of risky choice: Parameter stability and predictive accuracy of prospect theory , 2012, Cognition.

[120]  B. Hilbig,et al.  A matter of time: antecedents of one-reason decision making based on recognition. , 2012, Acta psychologica.

[121]  Marc Jekel,et al.  The rationality of different kinds of intuitive decision processes , 2012, Synthese.

[122]  Benjamin E. Hilbig,et al.  Deliberation versus automaticity in decision making: Which presentation format features facilitate automatic decision making? , 2013, Judgment and Decision Making.

[123]  A. Clark.  Whatever next? Predictive brains, situated agents, and the future of cognitive science. , 2013, The Behavioral and brain sciences.

[124]  Jacob L. Orquin,et al.  Attention and choice: a review on eye movements in decision making. , 2013, Acta psychologica.

[125]  Jörg Rieskamp,et al.  Testing adaptive toolbox models: a Bayesian hierarchical approach. , 2013, Psychological review.

[126]  A. Glöckner,et al.  Can We Trust Intuitive Jurors? Standards of Proof and the Probative Value of Evidence in Coherence‐Based Reasoning , 2013 .

[127]  A. Bröder,et al.  Cognitive integration of recognition information and additional cues in memory-based decisions , 2014, Judgment and Decision Making.

[128]  B. Hilbig,et al.  Generalized outcome-based strategy classification: Comparing deterministic and probabilistic choice models , 2014, Psychonomic Bulletin & Review.

[129]  A. Bröder,et al.  Single-process versus multiple-strategy models of decision making: evidence from an information intrusion paradigm. , 2014, Acta psychologica.