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  1. 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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  • Unified cognitive theory is not comprehensive.P. C. Dodwell - 1992 - Behavioral and Brain Sciences 15 (3):443-445.
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  • Cohen on contraposition.N. E. Wetherick - 1981 - Behavioral and Brain Sciences 4 (3):358-358.
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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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  • Mental models, more or less.Thad A. Polk - 1993 - Behavioral and Brain Sciences 16 (2):362-363.
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  • A number of questions about a question of number.Alan Garnham - 1993 - Behavioral and Brain Sciences 16 (2):350-351.
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  • The content of mental models.Paolo Legrenzi & Maria Sonino - 1993 - Behavioral and Brain Sciences 16 (2):354-355.
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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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  • Underestimating the importance of the implementational level.Michael Van Kleeck - 1987 - Behavioral and Brain Sciences 10 (3):497-498.
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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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  • Generality and applications.Jill H. Larkin - 1987 - Behavioral and Brain Sciences 10 (3):486-487.
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  • Normative and descriptive consequentialism.Jonathan St B. T. Evans - 1994 - Behavioral and Brain Sciences 17 (1):15-16.
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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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  • Can any statements about human behavior be empirically validated?Baruch Fischoff - 1981 - Behavioral and Brain Sciences 4 (3):336-337.
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  • Unphilosophical probability.Sandy L. Zabell - 1981 - Behavioral and Brain Sciences 4 (3):358-359.
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  • Competence, performance, and ignorance.Robert W. Weisberg - 1981 - Behavioral and Brain Sciences 4 (3):356-358.
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  • Vortexes of involvement: Social systems as turbulent flow.Erika Summers-Effler - 2007 - Philosophy of the Social Sciences 37 (4):433-448.
    How does social organization persist? How does social organization transform? This article proposes that social scientists can begin to answer these questions by considering social organization as the intermittent construction and decay of patterned action, and social actors as centers of organization with the capacity to exert force within some social scene. From this perspective, contexts that shape the dynamics of both actors and scenes could be imagined as turbulent flows that push and pull action into temporary patterns. By viewing (...)
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  • (1 other version)The Prospects for E‐Learning Revolution in Education: A philosophical analysis.Samson O. Gunga & Ian W. Ricketts - 2008 - Educational Philosophy and Theory 40 (2):294–314.
    If I lose my key in Canada, for instance, and I search for it in the United Kingdom, how long will I take to find it? This paper argues that problems in education are caused by non-professional teachers who are employed when trained teachers move in search of promotion friendly activities or financially rewarding duties. This shift of focus means that policy makers in education act without adequate professional guidance. The problems in education, therefore, result from demands made on mainstream (...)
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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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  • Sketches from a Design Process: Creative Cognition Inferred From Intermediate Products.Saskia Jaarsveld & Cees van Leeuwen - 2005 - Cognitive Science 29 (1):79-101.
    Novice designers produced a sequence of sketches while inventing a logo for a novel brand of soft drink. The sketches were scored for the presence of specific objects, their local features and global composition. Self‐assessment scores for each sketch and art critics' scores for the end products were collected. It was investigated whether the design evolves in an essentially random fashion or according to an overall heuristic. The results indicated a macrostructure in the evolution of the design, characterized by two (...)
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  • (1 other version)Thought without Language: Thought without Awareness?L. Weiskrantz - 1997 - Royal Institute of Philosophy Supplement 42:127-150.
    Some philosophers have laid down rather severe strictures on whether there can be thought without language. Wittgenstein asserted that ‘the limits of language…mean the limits of my world’. Davidson has argued that ‘a creature cannot have thoughts unless it is an interpreter of the speech of another’. Dummett has interpreted some pronouncements as meaning that ‘the study of thought is to be sharply distinguished from the study of the psychological processes of thinking and…the only proper method of analysing thought consists (...)
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  • Effects of Prompting in Reflective Learning Tools: Findings from Experimental Field, Lab, and Online Studies.Bettina Renner, Michael Prilla, Ulrike Cress & Joachim Kimmerle - 2016 - Frontiers in Psychology 7.
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  • Einstein as a Disciple of Galileo A Comparative Study of Concept Development in Physics.Jürgen Renn - 1993 - Science in Context 6 (1):311-341.
    The ArgumentIn this paper I present and argue for a model of conceptual development in science and apply it to the transition from classical to modern physics associated with Einstein. The model claims a continuous and rational transition between incompatible subsequent conceptual systems in mathematical science and explains its mechanism. The model was developed in a study of the transition from preclassical to classical mechanics. I argue for a strong structural analogy between the transition from preclassical to classical mechanics on (...)
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  • SOAR as a unified theory of cognition: Issues and explanations.Allen Newell - 1992 - Behavioral and Brain Sciences 15 (3):464-492.
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  • Problem spaces, language and connectionism: Issues for cognition.Patrick Suppes - 1992 - Behavioral and Brain Sciences 15 (3):457-458.
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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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  • Human rationality: Misleading linguistic analogies.Geoffrey Sampson - 1981 - Behavioral and Brain Sciences 4 (3):350-351.
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  • Gestalt theory, formal models and mathematical modeling.Abraham S. Luchins & Edith H. Luchins - 1993 - Behavioral and Brain Sciences 16 (2):355-356.
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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
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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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  • 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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  • Précis of Deduction.Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):323-333.
    How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...)
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  • The evolutionary aspect of cognitive functions.J. -P. Ewert - 1987 - Behavioral and Brain Sciences 10 (3):481-483.
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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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  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
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  • Side effects: Limitations of human rationality.Keith Oatley - 1994 - Behavioral and Brain Sciences 17 (1):24-25.
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  • Some examples of nonconsequentialist decisions.Gerald M. Phillips - 1994 - Behavioral and Brain Sciences 17 (1):25-26.
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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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  • The persistence of cognitive illusions.Persi Diaconis & David Freedman - 1981 - Behavioral and Brain Sciences 4 (3):333-334.
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  • L. J. Cohen versus Bayesianism.Ilkka Niiniluoto - 1981 - Behavioral and Brain Sciences 4 (3):349-349.
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  • Dual Space Search During Scientific Reasoning.David Klahr & Kevin Dunbar - 1988 - Cognitive Science 12 (1):1-48.
    The purpose of the two studies reported here was to develop an integrated model of the scientific reasoning process. Subjects were placed in a simulated scientific discovery context by first teaching them how to use an electronic device and then asking them to discover how a hitherto unencountered function worked. To do this task, subjects had to formulate hypotheses based on their prior knowledge, conduct experiments, and evaluate the results of their experiments. In the first study, using 20 adult subjects, (...)
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  • Productive Thinking in Place of Problem-Solving?: Suggestions for Associating Productive Thinking with Text Comprehension Fostering.Lucia Lumbelli - 2018 - Gestalt Theory 40 (2):131-148.
    Summary Why and how is the Gestalt theorists’ concept of productive thinking particularly suitable for being applied to the educational question of how student motivation can be encouraged, thus providing an important condition for self-regulated, intrinsically motivated learning? An answer to this question has been sought using an approach to the fostering of text comprehension ability, based upon the features specific to productive thinking, originally identified by Wertheimer and Duncker. Firstly, these specific features are dealt with and their educational implications (...)
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  • The Nature of Representation in Feynman Diagrams.Mauro Dorato & Emanuele Rossanese - 2018 - Perspectives on Science 26 (4):443-458.
    After a brief presentation of Feynman diagrams, we criticizise 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, where “models” are to be interpreted as inferential, non-representational devices constructed in given social contexts by the community of physicists.
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  • The Phenomenology of Problem Solving.Jeffrey Yoshimi - 2017 - Grazer Philosophische Studien 94 (3):391-409.
    _ Source: _Volume 94, Issue 3, pp 391 - 409 The author outlines a provisional phenomenology of problem solving. He begins by reviewing the history of problem-solving psychology, focusing on the Gestalt approach, which emphasizes the influence of prior knowledge and the occurrence of sudden insights. He then describes problem solving as a process unfolding in a field of consciousness against a background of unconscious knowledge, which encodes action patterns, schemata, and affordances. A global feeling of wrongness or tension is (...)
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  • Thoughts beyond words: When language overshadows insight.Jonathan W. Schooler, Stellan Ohlsson & Kevin Brooks - 1993 - Journal of Experimental Psychology: General 122 (2):166.
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  • Rational animal?Simon Blackburn - 1981 - Behavioral and Brain Sciences 4 (3):331-332.
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  • Conditional probability, taxicabs, and martingales.Brian Skyrms - 1981 - Behavioral and Brain Sciences 4 (3):351-352.
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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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  • Mental models and nonmonotonic reasoning.Nick Chater - 1993 - Behavioral and Brain Sciences 16 (2):340-341.
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