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  1. The Effect of Evidential Impact on Perceptual Probabilistic Judgments.Marta Mangiarulo, Stefania Pighin, Luca Polonio & Katya Tentori - 2021 - Cognitive Science 45 (1):e12919.
    In a series of three behavioral experiments, we found a systematic distortion of probability judgments concerning elementary visual stimuli. Participants were briefly shown a set of figures that had two features (e.g., a geometric shape and a color) with two possible values each (e.g., triangle or circle and black or white). A figure was then drawn, and participants were informed about the value of one of its features (e.g., that the figure was a “circle”) and had to predict the value (...)
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  • Cognitive psychology.Edward E. Smith - 1985 - Artificial Intelligence 25 (3):247-253.
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  • Understanding consciousness for optimal human wellbeing & growth holistically.Xu Di - 2020 - Educational Philosophy and Theory 52 (14):1503-1513.
    Consciousness is a natural and integral part of human beings that is at the core of our physical, emotional, mental, and spiritual functions throughout our lives. However, we tend to be too occupie...
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  • Neurocognitive processes underlying heuristic and normative probability judgments.Linus Andersson, Johan Eriksson, Sara Stillesjö, Peter Juslin, Lars Nyberg & Linnea Karlsson Wirebring - 2020 - Cognition 196 (C):104153.
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  • The quantum-like approach to modeling classical rationality violations: an introduction.Franco Vaio - 2019 - Mind and Society 18 (1):105-123.
    Psychological empirical research has shown that human choice behavior often violates the assumptions of classical rational choice models. In the last few decades a new research field has emerged which aims to account for the observed choice behavior by resorting to the concepts and mathematical techniques developed in the realm of quantum physics, such as the “mental state vector” defined in a Hilbert space and the interference of quantum probability. This article is a short introduction to the quantum-like approach to (...)
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  • When A+B < A: Cognitive Bias in Experts’ Judgment of Environmental Impact.Mattias Holmgren, Alan Kabanshi, John E. Marsh & Patrik Sörqvist - 2018 - Frontiers in Psychology 9.
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  • Modeling Human Decision-Making: An Overview of the Brussels Quantum Approach.Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo & Tomas Veloz - 2018 - Foundations of Science 26 (1):27-54.
    We present the fundamentals of the quantum theoretical approach we have developed in the last decade to model cognitive phenomena that resisted modeling by means of classical logical and probabilistic structures, like Boolean, Kolmogorovian and, more generally, set theoretical structures. We firstly sketch the operational-realistic foundations of conceptual entities, i.e. concepts, conceptual combinations, propositions, decision-making entities, etc. Then, we briefly illustrate the application of the quantum formalism in Hilbert space to represent combinations of natural concepts, discussing its success in modeling (...)
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  • Evaluating conditional arguments with uncertain premises.Raymond S. Nickerson, Daniel H. Barch & Susan F. Butler - 2018 - Thinking and Reasoning 25 (1):48-71.
    ABSTRACTTreating conditionals as probabilistic statements has been referred to as a defining feature of the “new paradigm” in cognitive psychology. Doing so is attractive for several reasons, but it complicates the problem of assessing the merits of conditional arguments. We consider several variables that relate to judging the persuasiveness of conditional arguments with uncertain premises. We also explore ways of judging the consistency of people's beliefs as represented by components of conditional arguments. Experimental results provide evidence that inconsistencies in beliefs (...)
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  • Compound risk judgment in tasks with both idiosyncratic and systematic risk: The “Robust Beauty” of additive probability integration.Joakim Sundh & Peter Juslin - 2018 - Cognition 171 (C):25-41.
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  • (1 other version)Tetlock and Counterfactuals: Saving Methodological Ambition From Empirical Findings.Ian S. Lustick - 2010 - Critical Review: A Journal of Politics and Society 22 (4):427-447.
    In five works spanning a decade, Philip E. Tetlock's interest in counterfactuals has changed. He began with an optimistic desire to make social science more rigorous by identifying best practices in the absence of non-imagined controls for experimentation. Soon, however, he adopted a more pessimistic analysis of the cognitive and psychological barriers facing experts. This shift was brought on by an awareness that experts are not rational Bayesians who continually update their theories to keep up with new information; but instead (...)
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  • Another look at Linda.Wayne S. Messer & Richard A. Griggs - 1993 - Bulletin of the Psychonomic Society 31 (3):193-196.
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  • The reality of the symbolic and subsymbolic systems.Andrew Woodfield & Adam Morton - 1988 - Behavioral and Brain Sciences 11 (1):58-58.
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  • Structure and controlling subsymbolic processing.Walter Schneider - 1988 - Behavioral and Brain Sciences 11 (1):51-52.
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  • Dynamic systems and the “subsymbolic level”.Walter J. Freeman - 1988 - Behavioral and Brain Sciences 11 (1):33-34.
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  • Competing, or perhaps complementary, approaches to the dynamic-binding problem, with similar capacity limitations.Graeme S. Halford - 1993 - Behavioral and Brain Sciences 16 (3):461-462.
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  • Rule acquisition and variable binding: Two sides of the same coin.P. J. Hampson - 1993 - Behavioral and Brain Sciences 16 (3):462-462.
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  • From symbols to neurons: Are we there yet?Garrison W. Cottrell - 1993 - Behavioral and Brain Sciences 16 (3):454-454.
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  • Nuancing should not imply neglecting.Howard Margolis - 1996 - Behavioral and Brain Sciences 19 (1):32-33.
    Koehler is right to argue for more nuanced interpretation of base rate anomalies. These anomalies are best understood in relation to a broader class of cognitive anomalies, which are important for theory and practice. Recognizing a need for more nuanced analysis should not be taken as a license for treating the effects as “explained away.”.
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  • The purpose of experiments: Ecological validity versus comparing hypotheses.Robyn M. Dawes - 1996 - Behavioral and Brain Sciences 19 (1):20-20.
    As illustrated by research Koehler himself cites (Dawes et al. 1993), the purpose of experiments is to choose between contrasting explanations of past observations – rather than to seek statistical generalizations about the prevalence of effects. True external validity results not from sampling various problems that are representative of “real world” decision making, but from reproducing an effect in the laboratory with minimal contamination (including from real world factors).
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  • Base rates in the applied domain of accounting.Lisa Koonce - 1996 - Behavioral and Brain Sciences 19 (1):29-30.
    Koehler's call for a reanalysis of the base rate fallacy is particularly important in the applied domain of accounting, since base rate data appear to be an important input for many accounting tasks. In this commentary I discuss the use of base rates in accounting and explain why more flexible standards of performance are important when judging the use of base rates.
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  • Cognitive algebra versus representativeness heuristic.Norman H. Anderson - 1996 - Behavioral and Brain Sciences 19 (1):17-17.
    Cognitive algebra strongly disproved the representativeness heuristic almost before it was published; and therewith it also disproved the base rate fallacy. Cognitive algebra provides a theoretical foundation for judgment-decision theory through its joint solution to the two fundamental problems – true measurement of subjective values, and cognitive rules for integration of multiple determinants.
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  • The implications of Koehler's approach for fact finding.Craig R. Callen - 1996 - Behavioral and Brain Sciences 19 (1):18-18.
    Koehler's work will assist the effort to understand legal fact finding. It leaves two questions somewhat open: (i) the extent to which empirical research can measure correctness of fact-finding, a function that involves the resolution of normative questions and (ii) the standards judges should use in the absence of the research he advocates.
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  • Decision theory with prospect interference and entanglement.V. I. Yukalov & D. Sornette - 2011 - Theory and Decision 70 (3):283-328.
    We present a novel variant of decision making based on the mathematical theory of separable Hilbert spaces. This mathematical structure captures the effect of superposition of composite prospects, including many incorporated intentions, which allows us to describe a variety of interesting fallacies and anomalies that have been reported to particularize the decision making of real human beings. The theory characterizes entangled decision making, non-commutativity of subsequent decisions, and intention interference. We demonstrate how the violation of the Savage’s sure-thing principle, known (...)
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  • Quantum probability and conceptual combination in conjunctions.James A. Hampton - 2013 - Behavioral and Brain Sciences 36 (3):290 - 291.
    I consider the general problem of category conjunctions in the light of Pothos & Busemeyer (P&B)'s quantum probability (QP) account of the conjunction fallacy. I argue that their account as presented cannot capture the – the case in which a class is a better member of a conjunction A^B than it is of either A or B alone.
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  • Quantum principles in psychology: The debate, the evidence, and the future.Emmanuel M. Pothos & Jerome R. Busemeyer - 2013 - Behavioral and Brain Sciences 36 (3):310-327.
    The attempt to employ quantum principles for modeling cognition has enabled the introduction of several new concepts in psychology, such as the uncertainty principle, incompatibility, entanglement, and superposition. For many commentators, this is an exciting opportunity to question existing formal frameworks (notably classical probability theory) and explore what is to be gained by employing these novel conceptual tools. This is not to say that major empirical challenges are not there. For example, can we definitely prove the necessity for quantum, as (...)
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  • Exploration modes and its impact on industry profitability.L. Biggiero - 2010 - In Marisa Faggini, Concetto Paolo Vinci, Antonio Abatemarco, Rossella Aiello, F. T. Arecchi, Lucio Biggiero, Giovanna Bimonte, Sergio Bruno, Carl Chiarella, Maria Pia Di Gregorio, Giacomo Di Tollo, Simone Giansante, Jaime Gil Aluja, A. I͡U Khrennikov, Marianna Lyra, Riccardo Meucci, Guglielmo Monaco, Giancarlo Nota, Serena Sordi, Pietro Terna, Kumaraswamy Velupillai & Alessandro Vercelli (eds.), Decision Theory and Choices: A Complexity Approach. Springer Verlag Italia. pp. 83--115.
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  • Prior Divergence: Do Researchers and Participants Share the Same Prior Probability Distributions?Christina Fang, Sari Carp & Zur Shapira - 2011 - Cognitive Science 35 (4):744-762.
    Do participants bring their own priors to an experiment? If so, do they share the same priors as the researchers who design the experiment? In this article, we examine the extent to which self-generated priors conform to experimenters’ expectations by explicitly asking participants to indicate their own priors in estimating the probability of a variety of events. We find in Study 1 that despite being instructed to follow a uniform distribution, participants appear to have used their own priors, which deviated (...)
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  • Judgement under uncertainty and conjunction fallacy inhibition training.Sylvain Moutier & Olivier Houdé - 2003 - Thinking and Reasoning 9 (3):185 – 201.
    Intuitive predictions and judgements under uncertainty are often mediated by judgemental heuristics that sometimes lead to biases. Our micro-developmental study suggests that a presumption of rationality is justified for adult subjects, in so far as their systematic judgemental biases appear to be due to a specific executive-inhibition failure in working memory, and not necessarily to a lack of understanding of the fundamental principles of probability. This hypothesis was tested using an experimental procedure in which 60 adult subjects were trained to (...)
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  • Base-rate respect: From statistical formats to cognitive structures.Aron K. Barbey & Steven A. Sloman - 2007 - Behavioral and Brain Sciences 30 (3):287-292.
    The commentaries indicate a general agreement that one source of reduction of base-rate neglect involves making structural relations among relevant sets transparent. There is much less agreement, however, that this entails dual systems of reasoning. In this response, we make the case for our perspective on dual systems. We compare and contrast our view to the natural frequency hypothesis as formulated in the commentaries.
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  • (1 other version)Assessing Inductive Logics Empirically.Howard Smokler - 1990 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990 (1):525-535.
    Philosophers of science have recently been urged by Arthur Fine to collaborate with physicists and with other scientists in constructing scientific theories.2 What I am proposing is a collaboration at the other pole of scientific activity; the pole of experiment.I consider this effort to be part of a tendency within philosophy to naturalize epistemology. The banner of naturalistic epistemology has attracted such men as Quine and Goldman. I consider the effort as one small part of that program which involves not (...)
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  • Probabilistic mental models: A Brunswikian theory of confidence.Gerd Gigerenzer, Ulrich Hoffrage & Heinz Kleinbölting - 1991 - Psychological Review 98 (4):506-528.
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  • Ethereal oscillations.Malcolm P. Young - 1993 - Behavioral and Brain Sciences 16 (3):476-477.
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  • Connectionism and syntactic binding of concepts.Georg Dorffner - 1993 - Behavioral and Brain Sciences 16 (3):456-457.
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  • Base rates do not constrain nonprobability judgments.Paul D. Windschitl & Gary L. Wells - 1996 - Behavioral and Brain Sciences 19 (1):40-41.
    Base rates have no necessary relation to judgments that are not themselves probabilities. There is no logical imperative, for instance, that behavioral base rates must affect causal attributions or that base rate information should affect judgments of legal liability. Decision theorists should be cautious in arguing that base rates place normative constraints on judgments of anything other than posterior probabilities.
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  • The erotetic theory of reasoning: Bridges between formal semantics and the psychology of deductive inference.Philipp Koralus & Salvador Mascarenhas - 2013 - Philosophical Perspectives 27 (1):312-365.
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  • Reasoning, robots, and navigation: Dual roles for deductive and abductive reasoning.Janet Wiles - 2011 - Behavioral and Brain Sciences 34 (2):92-92.
    Mercier & Sperber (M&S) argue for their argumentative theory in terms of communicative abilities. Insights can be gained by extending the discussion beyond human reasoning to rodent and robot navigation. The selection of arguments and conclusions that are mutually reinforcing can be cast as a form of abductive reasoning that I argue underlies the construction of cognitive maps in navigation tasks.
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  • Can Human Rationality Be Defended "A Priori"?David Shier - 2000 - Behavior and Philosophy 28 (1/2):67 - 81.
    In this paper, I develop two criticisms of L. Jonathan Cohen's influential a priori argument that human irrationality cannot be experimentally demonstrated. The first is that the argument depends crucially on the concept of a normal human but that no such concept suitable for Cohen's purposes is available. The second is that even if his argument were granted, his thesis of an unimpeachable human capacity for reasoning is not a defense of human reasoning, but rather amounts to the claim that (...)
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  • A dilution effect without dilution: When missing evidence, not non-diagnostic evidence, is judged inaccurately.Adam N. Sanborn, Takao Noguchi, James Tripp & Neil Stewart - 2020 - Cognition 196 (C):104110.
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  • The Bayesian boom: good thing or bad?Ulrike Hahn - 2014 - Frontiers in Psychology 5.
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  • Latent Profile Analysis of Schizotypy and Paranormal Belief: Associations with Probabilistic Reasoning Performance.Andrew Denovan, Neil Dagnall, Kenneth Drinkwater & Andrew Parker - 2018 - Frontiers in Psychology 9:325923.
    This study assessed the extent to which within-individual variation in schizotypy and paranormal belief influenced performance on probabilistic reasoning tasks. A convenience sample of 725 non-clinical adults completed measures assessing schizotypy (Oxford-Liverpool Inventory of Feelings and Experiences; O-Life brief), belief in the paranormal (Revised Paranormal Belief Scale; RPBS) and probabilistic reasoning (perception of randomness, conjunction fallacy, paranormal perception of randomness, and paranormal conjunction fallacy). Latent profile analysis (LPA) identified four distinct groups: class 1, low schizotypy and low paranormal belief (43.9% (...)
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  • Paranormal belief and errors of probabilistic reasoning: The role of constituent conditional relatedness in believers' susceptibility to the conjunction fallacy.Paul Rogers, John E. Fisk & Emma Lowrie - 2017 - Consciousness and Cognition 56:13-29.
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  • Rational and mechanistic perspectives on reinforcement learning.Nick Chater - 2009 - Cognition 113 (3):350-364.
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  • Mental models and probabilistic thinking.Philip N. Johnson-Laird - 1994 - Cognition 50 (1-3):189-209.
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  • Dynamic-binding theory is not plausible without chaotic oscillation.Ichiro Tsuda - 1993 - Behavioral and Brain Sciences 16 (3):475-476.
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  • Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty.L. Cosmides - 1996 - Cognition 58 (1):1-73.
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  • Mental Simulation.Daniela Wuerz - unknown
    Mental simulations and implementation intentions are two self-regulation techniques that further successful goal attainment. The present research examined whether the two mindsets associated with the two techniques differed regarding processing of information. The first two studies indicated that mental simulation induces a mindset associated with more open-minded processing of information, while implementation intentions induce a mindset associated with more closed-minded processing of information. The final two studies investigated activation levels of mental representations of mental simulation and implementation intention via a (...)
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  • The dual-process turn: How recent defenses of dual-process theories of reasoning fail.Joshua Mugg - 2016 - Philosophical Psychology 29 (2):300-309.
    In response to the claim that the properties typically used to distinguish System 1 from System 2 crosscut one another, Carruthers, Evans, and Stanovich have abandoned the System 1/System 2 distinction. Evans and Stanovich both opt for a dual-process theory, according to which Type-1 processes are autonomous and Type-2 processes use working memory and involve cognitive decoupling. Carruthers maintains a two-system account, according to which there is an intuitive system and a reflective system. I argue that these defenses of dual-process (...)
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  • Rationality and irrationality: Still fighting words.Paul Snow - 1991 - Behavioral and Brain Sciences 14 (3):505-506.
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  • Connectionism and interlevel relations.William Bechtel - 1988 - Behavioral and Brain Sciences 11 (1):24-25.
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  • Quantum cognition and bounded rationality.Reinhard Blutner & Peter Beim Graben - 2016 - Synthese 193 (10).
    We consider several puzzles of bounded rationality. These include the Allais- and Ellsberg paradox, the disjunction effect, and related puzzles. We argue that the present account of quantum cognition—taking quantum probabilities rather than classical probabilities—can give a more systematic description of these puzzles than the alternate treatments in the traditional frameworks of bounded rationality. Unfortunately, the quantum probabilistic treatment does not always provide a deeper understanding and a true explanation of these puzzles. One reason is that quantum approaches introduce additional (...)
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