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  1. Feynman's Diagrams, Pictorial Representations and Styles of Scientific Thinking.Dorato Mauro & Emanuele Rossanese - 2017
    In this paper we argue that the different positions taken by Dyson and Feynman on Feynman diagrams’ representational role depend on different styles of scientific thinking. We begin by criticizing the idea that Feynman Diagrams can be considered to be pictures or depictions of actual physical processes. We then show that the best interpretation of the role they play in quantum field theory and quantum electrodynamics is captured by Hughes' Denotation, Deduction and Interpretation theory of models (DDI), where “models” are (...)
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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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  • Problem solving stages in the five square problem.Anna Fedor, Eörs Szathmáry & Michael Öllinger - 2015 - Frontiers in Psychology 6:135954.
    According to the restructuring hypothesis, insight problem solving typically progresses through consecutive stages of search, impasse, insight, and search again for someone, who solves the task. The order of these stages was determined through self-reports of problem solvers and has never been verified behaviorally. We asked whether individual analysis of problem solving attempts of participants revealed the same order of problem solving stages as defined by the theory and whether their subjective feelings corresponded to the problem solving stages they were (...)
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  • The importance of chance and interactivity in creativity.David Kirsh - 2014 - Pragmatics and Cognition 22 (1):5-26.
    Individual creativity is standardly treated as an ‘internalist’ process occurring solely in the head. An alternative, more interactionist view is presented here, where working with objects, media and other external things is seen as a fundamental component of creative thought. The value of chance interaction and chance cueing — practices widely used in the creative arts — is explored briefly in an account of the creative method of choreographer Wayne McGregor and then more narrowly in an experimental study that compared (...)
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  • (1 other version)Diagrams, jars, and matchsticks.Frederic Vallee-Tourangeau & Gaëlle Vallée-Tourangeau - 2014 - Pragmatics and Cognition 22 (2):187-205.
    Participants in cognitive psychology experiments on reasoning and problem solving are commonly sequestered: Efforts are made to impoverish the physical context in which the problem is presented, decoupling people from the richer and modifiable environment that naturally instantiates it outside the lab. Sense-making activities are constrained, but this conforms to the strong internalist and individualist commitments implicit to these research efforts: Cognition reflects internal computations and the scientists’ toils must focus on the individual and what she is thinking, decoupled from (...)
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  • Toward an integrated theory of insight in problem solving.Robert W. Weisberg - 2015 - Thinking and Reasoning 21 (1):5-39.
    The study of insight in problem solving and creative thinking has seen an upsurge of interest in the last 30 years. Current theorising concerning insight has taken one of two tacks. The special-process view, which grew out of the Gestalt psychologists’ theorising about insight, proposes that insight is the result of a dedicated set of processes that is activated by the individual's reaching impasse while trying to deal with a problematic situation. In contrast, the business-as-usual view argues that insight is (...)
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  • A failure to find an effect of perceptual set on creativity.Martin S. Lindauer - 1990 - Bulletin of the Psychonomic Society 28 (1):33-36.
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  • Choosing a unifying theory for cognitive development.Thomas R. Shultz - 1992 - Behavioral and Brain Sciences 15 (3):456-457.
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  • Unified theories and theories that mimic each other's predictions.James T. Townsend - 1992 - Behavioral and Brain Sciences 15 (3):458-459.
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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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  • A unified theory for psychologists?Richard A. Carlson & Mark Detweiler - 1992 - Behavioral and Brain Sciences 15 (3):440-440.
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  • Précis of Unified theories of cognition.Allen Newell - 1992 - Behavioral and Brain Sciences 15 (3):425-437.
    The book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made (...)
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  • Rational animal?Simon Blackburn - 1981 - Behavioral and Brain Sciences 4 (3):331-332.
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  • Independent forebrain and brainstem controls for arousal and sleep.Jaime R. Villablanca - 1981 - Behavioral and Brain Sciences 4 (3):494-496.
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  • Deduction and degrees of belief.David Over - 1993 - Behavioral and Brain Sciences 16 (2):361-362.
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  • Architecture and algorithms: Power sharing for mental models.Robert Inder - 1993 - Behavioral and Brain Sciences 16 (2):354-354.
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  • On modes of explanation.Rachel Joffe Falmagne - 1993 - Behavioral and Brain Sciences 16 (2):346-347.
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
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  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
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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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  • Toward a developmental theory of mental models.Bruno G. Bara - 1993 - Behavioral and Brain Sciences 16 (2):336-336.
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  • Implementations, algorithms, and more.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498-505.
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  • What is the algorithmic level?M. M. Taylor & R. A. Pigeau - 1987 - Behavioral and Brain Sciences 10 (3):495-496.
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  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
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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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  • Ways and means.Adam V. Reed - 1987 - Behavioral and Brain Sciences 10 (3):488-489.
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  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
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  • Normative, descriptive and prescriptive responses.Jonathan Baron - 1994 - Behavioral and Brain Sciences 17 (1):32-42.
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  • Elicitation rules and incompatible goals.Julie R. Irwin - 1994 - Behavioral and Brain Sciences 17 (1):20-21.
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  • On begging the question when naturalizing norms.Leonard D. Katz - 1994 - Behavioral and Brain Sciences 17 (1):21-22.
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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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  • Inappropriate judgements: Slips, mistakes or violations?Peter Ayton & Nigel Harvey - 1994 - Behavioral and Brain Sciences 17 (1):12-12.
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  • Detection of Cognitive Structure with Protocol Data: Predicting Performance on Physics Transfer Problems.William C. Robertson - 1990 - Cognitive Science 14 (2):253-280.
    This article presents a cognitive map proposed to be associated with understanding of the “system concept,” one component of the physics principle of Newton's second low. A definition of the concept is followed by the results of a problem‐solving experiment designed to investigate whether or not good problem solvers possess cognitive structures similar to the one proposed. Think‐aloud protocols were collected as subjects solved a series of physics problems involving Newton's second law. Coding schemes were used to analyze these protocols (...)
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  • Performing competently.Lola L. Lopes - 1981 - Behavioral and Brain Sciences 4 (3):343-344.
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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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  • Competence, performance, and ignorance.Robert W. Weisberg - 1981 - Behavioral and Brain Sciences 4 (3):356-358.
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  • Chasing the Light Einsteinʼs Most Famous Thought Experiment.John D. Norton - unknown
    At the age of sixteen, Einstein imagined chasing after a beam of light. He later recalled that the thought experiment had played a memorable role in his development of special relativity. Famous as it is, it has proven difficult to understand just how the thought experiment delivers its results. It fails to generate problems for an ether-based electrodynamics. I propose that Einstein’s canonical statement of the thought experiment from his 1946 “Autobiographical Notes,” makes most sense not as an argument against (...)
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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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  • 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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  • How human is SOAR?Roger W. Remington, Michael G. Shafto & Colleen M. Seifert - 1992 - Behavioral and Brain Sciences 15 (3):455-455.
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  • Rationality is a necessary presupposition in psychology.Jan Smedslund - 1981 - Behavioral and Brain Sciences 4 (3):352-352.
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  • There is no need for (even fully fleshed out) mental models to map onto formal logic.Paul Pollard - 1993 - Behavioral and Brain Sciences 16 (2):363-364.
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  • Weak versus strong claims about the algorithmic level.Paul S. Rosenbloom - 1987 - Behavioral and Brain Sciences 10 (3):490-490.
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  • Broadening the base for bringing cognitive psychology to bear on ethics.Peter Railton - 1994 - Behavioral and Brain Sciences 17 (1):27-28.
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  • Can goals be uniquely defined?Ilana Ritov - 1994 - Behavioral and Brain Sciences 17 (1):28-29.
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  • Shared models: The cognitive equivalent of aLingua Franca.Robert W. Lawler - 1989 - AI and Society 3 (1):3-27.
    The richness of humanity is the diversity of its cultures, but now as never before the destructive power of modern technology and threatening ecological disasters make it necessary that we all recognize we are many peoples of one world. Complementing the diversity of our different cultures, the growth of a common, scientific knowledge inspires the hope that we may achieve and share a secondary culture of ideas. Computers, which can help represent explicitly the best ideas of modern science, can aid (...)
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  • Some questions regarding the rationality of a demonstration of human rationality.Robert J. Sternberg - 1981 - Behavioral and Brain Sciences 4 (3):352-353.
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  • L. J. Cohen, again: On the evaluation of inductive intuitions.Amos Tversky - 1981 - Behavioral and Brain Sciences 4 (3):354-356.
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  • Why a Diagram is (Sometimes) Worth Ten Thousand Words.Jill H. Larkin & Herbert A. Simon - 1987 - Cognitive Science 11 (1):65-100.
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  • Intelligence and Creativity in Problem Solving: The Importance of Test Features in Cognition Research.Saskia Jaarsveld & Thomas Lachmann - 2017 - Frontiers in Psychology 8.
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