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Paul Slovic, and Amos Tversky, eds

In Daniel Kahneman, Paul Slovic & Amos Tversky (eds.), Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press (1982)

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  1. Belief as Question‐Sensitive.Seth Yalcin - 2018 - Philosophy and Phenomenological Research 97 (1):23-47.
  • Freedom for the Future: The Independent Value of Freedom in Light of Uncertainty.S. Phineas Upham - 2009 - Critical Review: A Journal of Politics and Society 21 (4):437-446.
    ABSTRACT Both classical and modern liberals tend to treat freedom of choice as if it is intrinsically valuable—regardless of what is chosen. They fear that treating freedom as, instead, instrumental only to good choices might open the door to paternalism if a polity were to decide that people were making bad choices. A middle course would be to treat freedom as independently valuable. On the one hand, the independent value of freedom does not treat all choices as good as long (...)
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  • When the unreal is more likely than the real: Post hoc probability judgements and counterfactual closeness.Karl Halvor Teigen - 1998 - Thinking and Reasoning 4 (2):147 – 177.
    Occasionally, people are called upon to estimate probabilities after an event has occurred. In hindsight, was this an outcome we could have expected? Could things easily have turned out differently? One strategy for performing post hoc probability judgements would be to mentally turn the clock back and reconstruct one's expectations before the event. But if asked about the probability of an alternative, counterfactual outcome, a simpler strategy is available, based on this outcome's perceived closeness to what actually happened. The article (...)
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  • Stakeholder influence on corporate strategies over time.Waymond Susana & Gago Rodgers - 2004 - Journal of Business Ethics 52 (4):349 - 363.
    Modern management reporting on its company''s performance is influenced by individuals ethical considerations. Stakeholders philosophies have continued to change over the last 75 years affecting reporting systems for companies reporting information internally and externally. These fundamental changes in philosophy have affected how information is conveyed. We are not claiming that only one philosophical viewpoint dominates companies reporting practices, but there does appear to be a changing trend of philosophies building on one another. We use resource dependence theory in relationship to (...)
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  • Counterfactual Plausibility and Comparative Similarity.L. Stanley Matthew, W. Stewart Gregory & Brigard Felipe De - 2017 - Cognitive Science 41 (S5):1216-1228.
    Counterfactual thinking involves imagining hypothetical alternatives to reality. Philosopher David Lewis argued that people estimate the subjective plausibility that a counterfactual event might have occurred by comparing an imagined possible world in which the counterfactual statement is true against the current, actual world in which the counterfactual statement is false. Accordingly, counterfactuals considered to be true in possible worlds comparatively more similar to ours are judged as more plausible than counterfactuals deemed true in possible worlds comparatively less similar. Although Lewis (...)
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  • Neuroart: picturing the neuroscience of intentional actions in art and science.Todd Siler - 2015 - Frontiers in Human Neuroscience 9.
  • A theory of probability should tutor our intuitions.Glenn Shafer - 1983 - Behavioral and Brain Sciences 6 (3):508.
  • Undergraduate Students’ Critical Online Reasoning—Process Mining Analysis.Susanne Schmidt, Olga Zlatkin-Troitschanskaia, Jochen Roeper, Verena Klose, Maruschka Weber, Ann-Kathrin Bültmann & Sebastian Brückner - 2020 - Frontiers in Psychology 11.
    To successfully learn using open Internet resources, students must be able to critically search, evaluate and select online information, and verify sources. Defined as critical online reasoning, this construct is operationalized on two levels in our study: the student level using the newly developed Critical Online Reasoning Assessment, and the online information processing level using event log data, including gaze durations and fixations. The written responses of 32 students for one CORA task were scored by three independent raters. The resulting (...)
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  • How Forgetting Aids Heuristic Inference.Lael J. Schooler & Ralph Hertwig - 2005 - Psychological Review 112 (3):610-628.
    Some theorists, ranging from W. James to contemporary psychologists, have argued that forgetting is the key to proper functioning of memory. The authors elaborate on the notion of beneficial forgetting by proposing that loss of information aids inference heuristics that exploit mnemonic information. To this end, the authors bring together 2 research programs that take an ecological approach to studying cognition. Specifically, they implement fast and frugal heuristics within the ACT-R cognitive architecture. Simulations of the recognition heuristic, which relies on (...)
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  • Bang Your Head: Using Heavy Metal Music to Promote Scientific Thinking in the Classroom.Rodney M. Schmaltz - 2016 - Frontiers in Psychology 7.
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  • When imagination is difficult: Metacognitive experiences at the fault lines of reality.Lawrence J. Sanna - 2007 - Behavioral and Brain Sciences 30 (5-6):464-465.
    Imagination and rational thought may be guided by identical principles, and Byrne's (2005) analysis expertly synthesizes a diverse literature on counterfactual thinking. Further attention should be paid to metacognitive experiences, like ease or difficulty of thought generation, which accompany the imaginative process. Only by considering metacognitive experiences along with the content of what people imagine can we fully understand imagination.
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  • Human inference: The notion of reasonable rationality.Russell Revlin - 1983 - Behavioral and Brain Sciences 6 (3):507.
  • Bridging Exercise Science, Cognitive Psychology, and Medical Practice: Is “Cognitive Fatigue” a Remake of “The Emperor’s New Clothes”?Nathalie Pattyn, Jeroen Van Cutsem, Emilie Dessy & Olivier Mairesse - 2018 - Frontiers in Psychology 9.
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  • The Comprehension of Counterfactual Conditionals: Evidence From Eye-Tracking in the Visual World Paradigm.Isabel Orenes, Juan A. García-Madruga, Isabel Gómez-Veiga, Orlando Espino & Ruth M. J. Byrne - 2019 - Frontiers in Psychology 10.
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  • Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.Desmond C. Ong, Jamil Zaki & Noah D. Goodman - 2019 - Topics in Cognitive Science 11 (2):338-357.
    An important, but relatively neglected, aspect of human theory of mind is emotion inference: understanding how and why a person feels a certain why is central to reasoning about their beliefs, desires and plans. The authors review recent work that has begun to unveil the structure and determinants of emotion inference, organizing them within a unified probabilistic framework.
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  • Can philosophy resolve empirical issues?Clifford R. Mynatt, Ryan D. Tweney & Michael E. Doherty - 1983 - Behavioral and Brain Sciences 6 (3):506.
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  • False memories of the future: A critique of the applications of probabilistic reasoning to the study of cognitive processes.Mihnea Moldoveanu & Ellen Langer - 2002 - Psychological Review 109 (2):358-375.
  • Counterfactual thinking in moral judgment: an experimental study.Simone Migliore, Giuseppe Curcio, Francesco Mancini & Stefano F. Cappa - 2014 - Frontiers in Psychology 5.
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  • Semifactual ''even if'' thinking.Rachel McCloy & Ruth M. J. Byrne - 2002 - Thinking and Reasoning 8 (1):41 – 67.
    Semifactual thinking about what might have been the same, e.g., ''even if Philip had not chosen the chocolate ice-cream sundae, he would have developed an allergic reaction'' has been neglected compared to counterfactual thinking about what might have been different, e.g., ''if only Philip had not chosen the chocolate ice-cream sundae, he would not have developed an allergic reaction''. We report the first systematic comparison of the two sorts of thinking in two experiments. The first experiment showed that counterfactual ''if (...)
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  • Predicting blame assignment in a case of negligent harm.David R. Mandel - 2010 - Mind and Society 9 (1):5-17.
    Theories of blame posit that observers consider causality, controllability, and foreseeability when assigning blame to actors. The present study examined which of these factors, either on their own or in interaction, predicted blame assigned to actors in a case of harm caused by negligence. The findings revealed that only causal impact ratings predicted blame. The findings also revealed a novel form of asymmetric discounting: the causal impact of a negligent actor was used to discount blame assigned to an innocent actor, (...)
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  • Effect of counterfactual and factual thinking on causal judgements.David R. Mandel - 2003 - Thinking and Reasoning 9 (3):245 – 265.
    The significance of counterfactual thinking in the causal judgement process has been emphasized for nearly two decades, yet no previous research has directly compared the relative effect of thinking counterfactually versus factually on causal judgement. Three experiments examined this comparison by manipulating the task frame used to focus participants' thinking about a target event. Prior to making judgements about causality, preventability, blame, and control, participants were directed to think about a target actor either in counterfactual terms (what the actor could (...)
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  • Correcting Judgment Correctives in National Security Intelligence.David R. Mandel & Philip E. Tetlock - 2018 - Frontiers in Psychology 9:428814.
    Intelligence analysts, like other professionals, form norms that define standards of tradecraft excellence. These norms, however, have evolved in an idiosyncratic manner that reflects the influence of prominent insiders who had keen psychological insights but little appreciation for how to translate those insights into testable hypotheses. The net result is that the prevailing tradecraft norms of best practice are only loosely grounded in the science of judgment and decision-making. The “common sense” of prestigious opinion leaders inside the intelligence community has (...)
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  • Counterfactuals, emotions, and context.David Mandel - 2003 - Cognition and Emotion 17 (1):139-159.
  • Who commits the base rate fallacy?Isaac Levi - 1983 - Behavioral and Brain Sciences 6 (3):502.
  • Probabilities of conditionals in context.Justin Khoo - 2016 - Linguistics and Philosophy 39 (1):1-43.
    The Ramseyan thesis that the probability of an indicative conditional is equal to the corresponding conditional probability of its consequent given its antecedent is both widely confirmed and subject to attested counterexamples (e.g., McGee 2000, Kaufmann 2004). This raises several puzzling questions. For instance, why are there interpretations of conditionals that violate this Ramseyan thesis in certain contexts, and why are they otherwise very rare? In this paper, I raise some challenges to Stefan Kaufmann's account of why the Ramseyan thesis (...)
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  • Agent‐Regret and Accidental Agency.Rachana Kamtekar & Shaun Nichols - 2019 - Midwest Studies in Philosophy 43 (1):181-202.
    Midwest Studies In Philosophy, EarlyView.
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  • Norms, competence, and the explanation of reasoning.Gary S. Kahn & Lance J. Rips - 1983 - Behavioral and Brain Sciences 6 (3):501.
  • Can irrationality be intelligently discussed?Daniel Kahneman & Amos Tversky - 1983 - Behavioral and Brain Sciences 6 (3):509.
  • Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment.Samuel G. B. Johnson & Woo-Kyoung Ahn - 2015 - Cognitive Science 39 (7):1468-1503.
    Knowledge of mechanisms is critical for causal reasoning. We contrasted two possible organizations of causal knowledge—an interconnected causal network, where events are causally connected without any boundaries delineating discrete mechanisms; or a set of disparate mechanisms—causal islands—such that events in different mechanisms are not thought to be related even when they belong to the same causal chain. To distinguish these possibilities, we tested whether people make transitive judgments about causal chains by inferring, given A causes B and B causes C, (...)
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  • Comprehension and computation in Bayesian problem solving.Eric D. Johnson & Elisabet Tubau - 2015 - Frontiers in Psychology 6:137658.
    Humans have long been characterized as poor probabilistic reasoners when presented with explicit numerical information. Bayesian word problems provide a well-known example of this, where even highly educated and cognitively skilled individuals fail to adhere to mathematical norms. It is widely agreed that natural frequencies can facilitate Bayesian reasoning relative to normalized formats (e.g. probabilities, percentages), both by clarifying logical set-subset relations and by simplifying numerical calculations. Nevertheless, between-study performance on “transparent” Bayesian problems varies widely, and generally remains rather unimpressive. (...)
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  • Inductive reasoning: Competence or skill?Christopher Jepson, David H. Krantz & Richard E. Nisbett - 1983 - Behavioral and Brain Sciences 6 (3):494.
  • Source Reliability and the Conjunction Fallacy.Andreas Jarvstad & Ulrike Hahn - 2011 - Cognitive Science 35 (4):682-711.
    Information generally comes from less than fully reliable sources. Rationality, it seems, requires that one take source reliability into account when reasoning on the basis of such information. Recently, Bovens and Hartmann (2003) proposed an account of the conjunction fallacy based on this idea. They show that, when statements in conjunction fallacy scenarios are perceived as coming from such sources, probability theory prescribes that the “fallacy” be committed in certain situations. Here, the empirical validity of their model was assessed. The (...)
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  • Some Correspondences and Similarities of Shamanism and Cognitive Science: Interconnectedness, Extension of Meaning, and Attribution of Mental States.Timothy L. Hubbard - 2002 - Anthropology of Consciousness 13 (2):26-45.
    Correspondences and similarities between ideas in shamanism and ideas in contemporary cognitive science are considered. The importance of interconnectedness in the web of life worldview characteristic of shamanism and in connectionist models of semantic memory in cognitive science, and the extension of meaning to elements of the natural world in shamanism and indistributed cognition, are considered. Cognitive consequences of such an extension (e.g., use of representativeness and intentional stance heuristics, magical thinking, social attribution errors, and social in‐group/out‐group differences) are discussed. (...)
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  • Special Number or a Mere Numerical Array? Effect of Repdigits on Judgments and Choices.Hidehito Honda, Sota Matsunaga & Kazuhiro Ueda - 2020 - Frontiers in Psychology 11.
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  • Accounting for one's behavior—what really determines its effectiveness? Its type or its content?Shlomo Hareli - 2005 - Journal for the Theory of Social Behaviour 35 (4):359–372.
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  • Intuition and inconsistency.Richard E. Grandy - 1983 - Behavioral and Brain Sciences 6 (3):494.
  • Expert intuitions and the interpretation of social psychological experiments.André Gallois & Michael Siegal - 1983 - Behavioral and Brain Sciences 6 (3):492.
  • Two Empirical Approaches to the Study of Reasoning.Maurice A. Finocchiaro - 1994 - Informal Logic 16 (1).
    David N. Perkins has studied everyday reasoning by an experimental-critical approach involving taped interviews during which subjects reflect on controversial issues and articulate their reasoning on both sides. The present author has studied scientific reasoning in natural language by an historical-textual approach involving the reconstruction and evaluation of the arguments in Galileo's Two Chief World Systems. They have, independently, reached the strikingly similar substantive conclusion that the most common flaw of informal reasoning is the failure to consider lines of argument (...)
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  • Cognitive shortcuts in causal inference.Philip M. Fernbach & Bob Rehder - 2013 - Argument and Computation 4 (1):64 - 88.
    (2013). Cognitive shortcuts in causal inference. Argument & Computation: Vol. 4, Formal Models of Reasoning in Cognitive Psychology, pp. 64-88. doi: 10.1080/19462166.2012.682655.
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  • The Suppression of Inferences From Counterfactual Conditionals.Orlando Espino & Ruth M. J. Byrne - 2020 - Cognitive Science 44 (4):e12827.
    We examine two competing effects of beliefs on conditional inferences. The suppression effect occurs for conditionals, for example, “if she watered the plants they bloomed,” when beliefs about additional background conditions, for example, “if the sun shone they bloomed” decrease the frequency of inferences such as modus tollens (from “the plants did not bloom” to “therefore she did not water them”). In contrast, the counterfactual elevation effect occurs for counterfactual conditionals, for example, “if she had watered the plants they would (...)
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  • Beyond rationality: Counterfactual thinking and behavior regulation.Kai Epstude & Neal J. Roese - 2007 - Behavioral and Brain Sciences 30 (5-6):457-458.
    Counterfactual thinking may be described as disciplined, realistic, and rational, but we move a step further to describe a theoretical perspective centering on behavior regulation. According to this perspective, counterfactual thinking primarily centers on coordination of ongoing behavior. In short, most “if only” thoughts in daily life center on the acquisition of goals; hence, counterfactual thinking may be illuminated by considering the large literature on goal cognition.
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  • Different Visualizations Cause Different Strategies When Dealing With Bayesian Situations.Andreas Eichler, Katharina Böcherer-Linder & Markus Vogel - 2020 - Frontiers in Psychology 11:506184.
    People often struggle with Bayesian reasoning. However, research showed that people’s performance (and rationality) can be supported by the way of representing the statistical information. First, research showed that using natural frequencies instead of probabilities as format of statistical information increases people’s performance in Bayesian situations thoroughly. Second, research also yielded that people’s performance increases through using visualization. We build our paper on existing research in this field. The main aim is to analyse people’s strategies in Bayesian situations that are (...)
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  • Is irrationality systematic?Robyn M. Dawes - 1983 - Behavioral and Brain Sciences 6 (3):491.
  • Being With.Stephen Darwall - 2011 - Southern Journal of Philosophy 49 (s1):4–24.
    What is it for two or more people to be with one another or together? And what role do empathic psychological processes play, either as essential constituents or as typical elements? As I define it, to be genuinely with each other, persons must be jointly aware of their mutual openness to mutual relating. This means, I argue, that being with is a second-personal phenomenon in the sense I discuss in The Second-Person Standpoint. People who are with each other are in (...)
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  • The plasticity of human rationality.Norman Daniels & George E. Smith - 1983 - Behavioral and Brain Sciences 6 (3):490.
  • Reasonable Disagreement about Identifed vs. Statistical Victims.Norman Daniels - 2012 - Hastings Center Report 42 (1):35-45.
    People tend to contribute more—and think they have stronger obligations to contribute more—to rescuing an identified victim rather than a statistical one. Indeed, they are often disposed to contribute more to rescuing a single identified victim than a greater number of statistical ones. By an “identified victim,” I mean Terry Q., lying injured in the passenger seat of the wrecked automobile on the corner of Main Street and Broadway, or Jessica McClure, the child who fell into the Texas well in (...)
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  • A cognitive account of belief: a tentative road map.Michael H. Connors & Peter W. Halligan - 2014 - Frontiers in Psychology 5.
  • The controversy about irrationality.L. Jonathan Cohen - 1983 - Behavioral and Brain Sciences 6 (3):510.
  • The epistemological status of lay intuition.Christopher Cherniak - 1983 - Behavioral and Brain Sciences 6 (3):489.
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  • Prospect relativity: how choice options influence decision under risk.Neil Stewart, Nick Chater, Henry P. Stott & Stian Reimers - 2003 - Journal of Experimental Psychology: General 132 (1):23.