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  1. Premesse filosofiche per uno studio scientifico del pensiero riflessivo.John L. Dennis & Aldo Stella - 2014 - Epistemologia 37 (1):119-133.
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  • Deduction by children and animals: Does it follow the Johnson-Laird & Byrne model?Hank Davis - 1993 - Behavioral and Brain Sciences 16 (2):344-344.
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  • Correct decisions and their good consequences.Steven Daniel - 1994 - Behavioral and Brain Sciences 17 (1):13-14.
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  • Tractability considerations in deduction.James M. Crawford - 1993 - Behavioral and Brain Sciences 16 (2):343-343.
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  • Status of the rationality assumption in psychology.Marvin S. Cohen - 1981 - Behavioral and Brain Sciences 4 (3):332-333.
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  • Some difficulties about deduction.L. Jonathan Cohen - 1993 - Behavioral and Brain Sciences 16 (2):341-342.
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  • Do, or should, all human decisions conform to the norms of a consumer-oriented culture?L. Jonathan Cohen - 1994 - Behavioral and Brain Sciences 17 (1):12-13.
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  • Can human irrationality be experimentally demonstrated?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):317-370.
    The object of this paper is to show why recent research in the psychology of deductive and probabilistic reasoning does not have.
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  • Are there any a priori constraints on the study of rationality?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):359-370.
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  • Observed Methods for Generating Analogies in Scientific Problem Solving.John Clement - 1988 - Cognitive Science 12 (4):563-586.
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  • The algorithm/implementation distinction.Austen Clark - 1987 - Behavioral and Brain Sciences 10 (3):480-480.
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  • Functional principles and situated problem solving.William J. Clancey - 1987 - Behavioral and Brain Sciences 10 (3):479-480.
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  • Active symbols, limited storage and the power of natural intelligence.Eric Chown & Stephen Kaplan - 1992 - Behavioral and Brain Sciences 15 (3):442-443.
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  • Re-membering cognition.Susan F. Chipman - 1992 - Behavioral and Brain Sciences 15 (3):441-442.
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  • Mental models and nonmonotonic reasoning.Nick Chater - 1993 - Behavioral and Brain Sciences 16 (2):340-341.
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  • Toward unified cognitive theory: The path is well worn and the trenches are deep.John M. Carroll - 1992 - Behavioral and Brain Sciences 15 (3):441-441.
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  • Reframing the problem of intelligent behavior.Stuart K. Card - 1992 - Behavioral and Brain Sciences 15 (3):438-439.
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  • A unified theory for psychologists?Richard A. Carlson & Mark Detweiler - 1992 - Behavioral and Brain Sciences 15 (3):440-440.
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  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
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  • Mental models cannot exclude mental logic and make little sense without it.Martin D. S. Braine - 1993 - Behavioral and Brain Sciences 16 (2):338-339.
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  • Can Contraries Prompt Intuition in Insight Problem Solving?Erika Branchini, Ivana Bianchi, Roberto Burro, Elena Capitani & Ugo Savardi - 2016 - Frontiers in Psychology 7.
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  • Rational animal?Simon Blackburn - 1981 - Behavioral and Brain Sciences 4 (3):331-332.
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  • Unified cognitive theory: You can't get there from here.Derek Bickerton - 1992 - Behavioral and Brain Sciences 15 (3):437-438.
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  • Overtly prompting people to “think in opposites” supports insight problem solving.Ivana Bianchi, Erika Branchini, Roberto Burro, Elena Capitani & Ugo Savardi - 2019 - Thinking and Reasoning 26 (1):31-67.
    This study aims to investigate the hypothesis that “thinking in opposites” might facilitate insight problem solving. For example, if the image relating to a problem is oriented horizontally, it may...
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  • Toward a developmental theory of mental models.Bruno G. Bara - 1993 - Behavioral and Brain Sciences 16 (2):336-336.
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  • Normative, descriptive and prescriptive responses.Jonathan Baron - 1994 - Behavioral and Brain Sciences 17 (1):32-42.
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  • Nonconsequentialist decisions.Jonathan Baron - 1994 - Behavioral and Brain Sciences 17 (1):1-10. Translated by Jonathan Baron.
    According to a simple form of consequentialism, we should base decisions on our judgments about their consequences for achieving our goals. Our goals give us reason to endorse consequentialism as a standard of decision making. Alternative standards invariably lead to consequences that are less good in this sense. Yet some people knowingly follow decision rules that violate consequentialism. For example, they prefer harmful omissions to less harmful acts, they favor the status quo over alternatives they would otherwise judge to be (...)
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
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  • Deduction as an example of thinking.Jonathan Baron - 1993 - Behavioral and Brain Sciences 16 (2):336-337.
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  • Getting down to cases.Kent Bach - 1993 - Behavioral and Brain Sciences 16 (2):334-336.
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  • Inappropriate judgements: Slips, mistakes or violations?Peter Ayton & Nigel Harvey - 1994 - Behavioral and Brain Sciences 17 (1):12-12.
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  • Three reservations about consequentialism.Hal R. Arkes - 1994 - Behavioral and Brain Sciences 17 (1):11-12.
    According to a simple form of consequentialism, we should base decision on our judgments about their consequences for achieving out goals. Our goals give us reason to endorse consequentialism as a standard of decision making. Alternative standards invariably lead to consequences that are less good in this sense. Yet some people knowingly follow decision rules that violate consequentialism. For example, they prefer harmful omissions to less harmful acts, they favor the status quo over alternatives they would otherwise judge to be (...)
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  • Many levels: More than one is algorithmic.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):478-479.
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  • Mental models and tableau logic.Avery D. Andrews - 1993 - Behavioral and Brain Sciences 16 (2):334-334.
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  • Methodologies for studying human knowledge.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):467-477.
    The appropriate methodology for psychological research depends on whether one is studying mental algorithms or their implementation. Mental algorithms are abstract specifications of the steps taken by procedures that run in the mind. Implementational issues concern the speed and reliability of these procedures. The algorithmic level can be explored only by studying across-task variation. This contrasts with psychology's dominant methodology of looking for within-task generalities, which is appropriate only for studying implementational issues.The implementation-algorithm distinction is related to a number of (...)
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  • Implementations, algorithms, and more.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498-505.
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  • Discovering relativity beliefs: Towards a socio-cognitive model for Einstein's relativity theory formation.Andrea Cerroni - 2002 - Mind and Society 3 (1):93-109.
    The research on which the present paper makes a point in aimed at designing a cognitive model of Albert Einstein's discovery that is based on fundamental Einstein's publications and placed, ideally, at a meso-level, between macro-historical and micro-cognitive reconstructions (e.g. protocol analysis). As in a cognitive-historical analysis, we will trace some discovery heuristics in the construction of representations, that are on a continuum with those we employ in ordinary problem solving. Firstly, some theory-specific, reflexive heuristics—named orientative heuristics—are traced: inner perfection, (...)
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  • An effective metacognitive strategy: learning by doing and explaining with a computer‐based Cognitive Tutor.Vincent A. W. M. M. Aleven & Kenneth R. Koedinger - 2002 - Cognitive Science 26 (2):147-179.
    Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving (...)
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  • Fairness to policies, distinctions and intuitions.Jonathan E. Adler - 1994 - Behavioral and Brain Sciences 17 (1):10-11.
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  • 創造的問題解決における多様性と評価 洞察研究からの知見.鈴木 宏昭 - 2004 - Transactions of the Japanese Society for Artificial Intelligence 19:145-153.
    The dynamic constraint relaxation theory predicts crucial roles of the initial diversity and evaluation in creative problem-solving. We reported the experimental evidence supporting these predictions, using an insight problem. The experiments showed that the degrees of making different types of trials and the appropriate evaluation were closely related to individual differences in insight problem-solving, and that evaluation became more appropriate by making the problem-solving goal explicit. The review of the research in related fields showed that these experimental findings were in (...)
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  • Theories of Consciousness & Death.Gregory Nixon (ed.) - 2016 - New York, USA: QuantumDream.
    What happens to the inner light of consciousness with the death of the individual body and brain? Reductive materialism assumes it simply fades to black. Others think of consciousness as indicating a continuation of self, a transformation, an awakening or even alternatives based on the quality of life experience. In this issue, speculation drawn from theoretic research are presented. -/- Table of Contents Epigraph: From “The Immortal”, Jorge Luis Borges iii Editor’s Introduction: I Killed a Squirrel the Other Day, Gregory (...)
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  • What Is Ineffable?Jan Zwicky - 2012 - International Studies in the Philosophy of Science 26 (2):197-217.
    In this essay, I argue, via a revision of Freud's notions of primary and secondary process, that experiences of resonant form lie at the root of many serious ineffability claims. I suggest further that Western European culture's resistance to the perception of resonant form underlies some of its present crises.
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  • A gestalt theoretic account for the coordination of perception and action in motor learning.Alf C. Zimmer & Hermann Körndle - 1994 - Philosophical Psychology 7 (2):249-265.
    A review of the scanty Gestaltist literature on motor behaviour indicates that a genuine Gestalt theoretic approach to motor behaviour can be characterized by three research questions: (1) What are the natural units of motor behaviour? (2) What characterizes the self-organization in motor behaviour? (3) What are the conditions for invariance in motor behaviour? Tentative answers to these questions can be found by analysing the parallels between Gestalt theory and Bernstein's theory of motor actions and by showing that Gestalt theory (...)
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  • Unphilosophical probability.Sandy L. Zabell - 1981 - Behavioral and Brain Sciences 4 (3):358-359.
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  • Cartesian vs. Newtonian research strategies for cognitive science.Morton E. Winston - 1992 - Behavioral and Brain Sciences 15 (3):463-464.
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  • Phenomenology Without Correlationism: Husserl's Hyletic Material.Patrick Whitehead - 2015 - Indo-Pacific Journal of Phenomenology 15 (2):1-12.
    The thrust of the argument presented in this paper is that phenomenological ontology survives the criticism of “correlationism” as advanced by speculative realism, a movement that has evolved in continental philosophy over the past decade. Correlationism is the position, allegedly occupied by phenomenology, that presupposes the ontological primacy of the human subject. Phenomenology survives this criticism not because the criticism misses its mark, but because phenomenology occupies a position that is broader than that of correlationism. With its critique of correlationism, (...)
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  • More models just means more difficulty.N. E. Wetherick - 1993 - Behavioral and Brain Sciences 16 (2):367-368.
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  • Cohen on contraposition.N. E. Wetherick - 1981 - Behavioral and Brain Sciences 4 (3):358-358.
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  • Cognition and simulation.N. E. Wetherick - 1992 - Behavioral and Brain Sciences 15 (3):462-463.
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  • Interactive insight problem solving.Anna Weller, Gaëlle Villejoubert & Frédéric Vallée-Tourangeau - 2011 - Thinking and Reasoning 17 (4):424 - 439.
    Insight problem solving was investigated with the matchstick algebra problems developed by Knoblich, Ohlsson, Haider, and Rhenius (1999). These problems are false equations expressed with Roman numerals that can be made true bymoving one matchstick. In a first group participants examined a static two-dimensional representation of the false algebraic expression and told the experimenter which matchstick should be moved. In a second group, participants interacted with a three-dimensional representation of the false equation. Success rates in the static group for different (...)
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