27 found
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  1.  14
    Toward nonprobabilistic explanations of learning and decision-making.Aba Szollosi, Chris Donkin & Ben R. Newell - 2023 - Psychological Review 130 (2):546-568.
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  2.  41
    Managing the Budget: Stock‐Flow Reasoning and the CO 2 Accumulation Problem.Ben R. Newell, Arthur Kary, Chris Moore & Cleotilde Gonzalez - 2016 - Topics in Cognitive Science 8 (1):138-159.
    The majority of people show persistent poor performance in reasoning about “stock-flow problems” in the laboratory. An important example is the failure to understand the relationship between the “stock” of CO2 in the atmosphere, the “inflow” via anthropogenic CO2 emissions, and the “outflow” via natural CO2 absorption. This study addresses potential causes of reasoning failures in the CO2 accumulation problem and reports two experiments involving a simple re-framing of the task as managing an analogous financial budget. In Experiment 1 a (...)
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  3.  21
    The role of causal models in multiple judgments under uncertainty.Brett K. Hayes, Guy E. Hawkins, Ben R. Newell, Martina Pasqualino & Bob Rehder - 2014 - Cognition 133 (3):611-620.
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  4.  14
    Ambiguity and Conflict Aversion When Uncertainty Is in the Outcomes.Michael Smithson, Daniel Priest, Yiyun Shou & Ben R. Newell - 2019 - Frontiers in Psychology 10.
  5.  49
    The long and short of it: Closing the description-experience “gap” by taking the long-run view.Adrian R. Camilleri & Ben R. Newell - 2013 - Cognition 126 (1):54-71.
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  6.  7
    Maximizing as satisficing: On pattern matching and probability maximizing in groups and individuals.Christin Schulze, Wolfgang Gaissmaier & Ben R. Newell - 2020 - Cognition 205 (C):104382.
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  7.  42
    The primacy of conscious decision making.David R. Shanks & Ben R. Newell - 2014 - Behavioral and Brain Sciences 37 (1):45-61.
    The target article sought to question the common belief that our decisions are often biased by unconscious influences. While many commentators offer additional support for this perspective, others question our theoretical assumptions, empirical evaluations, and methodological criteria. We rebut in particular the starting assumption that all decision making is unconscious, and that the onus should be on researchers to prove conscious influences. Further evidence is evaluated in relation to the core topics we reviewed (multiple-cue judgment, deliberation without attention, and decisions (...)
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  8.  28
    Personal experience in doctor and patient decision making: from psychology to medicine.Simon Y. W. Li, Tim Rakow & Ben R. Newell - 2009 - Journal of Evaluation in Clinical Practice 15 (6):993-995.
  9.  40
    Within-subject preference reversals in description-and experience-based choice.Adrian R. Camilleri & Ben R. Newell - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 449--454.
  10.  12
    Eliminating the mere exposure effect through changes in context between exposure and test.Daniel de Zilva, Chris J. Mitchell & Ben R. Newell - 2013 - Cognition and Emotion 27 (8):1345-1358.
  11.  7
    Is all mental effort equal? The role of cognitive demand-type on effort avoidance.Jake R. Embrey, Chris Donkin & Ben R. Newell - 2023 - Cognition 236 (C):105440.
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  12.  20
    Is strong reciprocity really strong in the lab, let alone in the real world?Şule Güney & Ben R. Newell - 2012 - Behavioral and Brain Sciences 35 (1):29-29.
    We argue that standard experiments supporting the existence of do not represent many cooperative situations outside the laboratory. More representative experiments that incorporate rather than wealth also do not provide evidence for the impact of strong reciprocity on cooperation in contemporary real-life situations or in evolutionary history, supporting the main conclusions of the target article.
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  13. The impact of complete and selective feedback in static and dynamic multiple-cue judgment tasks.Oren Griffiths & Ben R. Newell - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 2884--2890.
  14.  43
    The uncertain status of Bayesian accounts of reasoning.Brett K. Hayes & Ben R. Newell - 2011 - Behavioral and Brain Sciences 34 (4):201-202.
    Bayesian accounts are currently popular in the field of inductive reasoning. This commentary briefly reviews the limitations of one such account, the Rational Model (Anderson 1991b), in explaining how inferences are made about objects whose category membership is uncertain. These shortcomings are symptomatic of what Jones & Love (J&L) refer to as Bayesian approaches.
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  15.  8
    An evaluation and comparison of models of risky intertemporal choice.Ashley Luckman, Chris Donkin & Ben R. Newell - 2020 - Psychological Review 127 (6):1097-1138.
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  16.  21
    A quantum of truth? Querying the alternative benchmark for human cognition.Ben R. Newell, Don van Ravenzwaaij & Chris Donkin - 2013 - Behavioral and Brain Sciences 36 (3):300-302.
    We focus on two issues: (1) an unusual, counterintuitive prediction that quantum probability (QP) theory appears to make regarding multiple sequential judgments, and (2) the extent to which QP is an appropriate and comprehensive benchmark for assessing judgment. These issues highlight how QP theory can fall prey to the same problems of arbitrariness that Pothos & Busemeyer (P&B) discuss as plaguing other models.
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  17.  4
    Expectations, opportunities, and awareness: A case for combining i- and s-frame interventions.Ben R. Newell, Samuel Vigouroux & Harry Greenwell - 2023 - Behavioral and Brain Sciences 46:e170.
    We argue that: (1) disappointment in the effectiveness of i-frame interventions depends on realistic expectations about how they could work; (2) opportunities for system reform are rare, and i-frame interventions can lay important groundwork; (3) Chater & Loewenstein's evidence that i-frame interventions detract from s-frame approaches is limited; and (4) nonetheless, behavioural scientists should consider what more they can contribute to systemic reforms.
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  18.  9
    Is Conviction Narrative Theory a theory of everything or nothing?Ben R. Newell & Aba Szollosi - 2023 - Behavioral and Brain Sciences 46:e103.
    We connect Conviction Narrative Theory to an account that views people as intuitive scientists who can flexibly create, evaluate, and modify representations of decision problems. We argue that without understanding how the relevant complex narratives (or indeed any representation, simple to complex) are themselves constructed, we also cannot know when and why people would rely on them to make choices.
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  19. Learning to adapt evidence thresholds in decision making.Ben R. Newell & Michael D. Lee - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  20.  9
    Simulating plausibility?Ben R. Newell - 2005 - Trends in Cognitive Sciences 9 (1):11-15.
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  21.  43
    What is the link between propositions and memories?Ben R. Newell - 2009 - Behavioral and Brain Sciences 32 (2):219-219.
    Mitchell et al. present a lucid and provocative challenge to the claim that links between mental representations are formed automatically. However, the propositional approach they offer requires clearer specification, especially with regard to how propositions and memories interact. A definition of a system would also clarify the debate, as might an alternative technique for assessing task.
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  22. Non-categorical approaches to property induction with uncertain categories.Christopher Papadopoulos, Brett K. Hayes & Ben R. Newell - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
  23.  30
    The primacy of conscious decision making – RETRACTION.David R. Shanks & Ben R. Newell - 2014 - Behavioral and Brain Sciences 37 (1):48.
    The target article sought to question the common belief that our decisions are often biased by unconscious influences. While many commentators offer additional support for this perspective, others question our theoretical assumptions, empirical evaluations, and methodological criteria. We rebut in particular the starting assumption that all decision making is unconscious, and that the onus should be on researchers to prove conscious influences. Further evidence is evaluated in relation to the core topics we reviewed (multiple-cue judgment, deliberation without attention, and decisions (...)
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  24.  15
    The primacy of conscious decision making – ADDENDUM.David R. Shanks & Ben R. Newell - 2014 - Behavioral and Brain Sciences 37 (1):47.
    The target article sought to question the common belief that our decisions are often biased by unconscious influences. While many commentators offer additional support for this perspective, others question our theoretical assumptions, empirical evaluations, and methodological criteria. We rebut in particular the starting assumption that all decision making is unconscious, and that the onus should be on researchers to prove conscious influences. Further evidence is evaluated in relation to the core topics we reviewed (multiple-cue judgment, deliberation without attention, and decisions (...)
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  25.  11
    The primacy of conscious decision making – ERRATUM.David R. Shanks & Ben R. Newell - 2014 - Behavioral and Brain Sciences 37 (1):46.
    The target article sought to question the common belief that our decisions are often biased by unconscious influences. While many commentators offer additional support for this perspective, others question our theoretical assumptions, empirical evaluations, and methodological criteria. We rebut in particular the starting assumption that all decision making is unconscious, and that the onus should be on researchers to prove conscious influences. Further evidence is evaluated in relation to the core topics we reviewed (multiple-cue judgment, deliberation without attention, and decisions (...)
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  26.  56
    A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi-Attribute Judgment.Don van Ravenzwaaij, Chris P. Moore, Michael D. Lee & Ben R. Newell - 2014 - Cognitive Science 38 (7):1384-1405.
    In most decision-making situations, there is a plethora of information potentially available to people. Deciding what information to gather and what to ignore is no small feat. How do decision makers determine in what sequence to collect information and when to stop? In two experiments, we administered a version of the German cities task developed by Gigerenzer and Goldstein (1996), in which participants had to decide which of two cities had the larger population. Decision makers were not provided with the (...)
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  27.  8
    Corrigendum to ‘The long and short of it: Closing the description-experience “gap” by taking the long-run view’ [Cognition 126 (1) (2012) 54–71]. [REVIEW]Adrian R. Camilleri & Ben R. Newell - 2013 - Cognition 128 (2):259.
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