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  1. Jonathan Baron, consequentialism and error theory.Sanford S. Levy - 1994 - Behavioral and Brain Sciences 17 (1):22-23.
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  • Connectionism and motivation are compatible.Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (3):487-487.
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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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  • 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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  • 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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  • Generality and applications.Jill H. Larkin - 1987 - Behavioral and Brain Sciences 10 (3):486-487.
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  • A psychologically implausible architecture that is always conscious, always active.Mark Vincent LaPolla & Bernard J. Baars - 1992 - Behavioral and Brain Sciences 15 (3):448-449.
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  • Intuition, competence, and performance.Henry E. Kyburg - 1981 - Behavioral and Brain Sciences 4 (3):341-342.
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  • Improvements in human reasoning and an error in L. J. Cohen's.David H. Krantz - 1981 - Behavioral and Brain Sciences 4 (3):340-340.
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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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  • 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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  • 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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  • The Role of a Mental Model in Learning to Operate a Device.David E. Kieras & Susan Bovair - 1984 - Cognitive Science 8 (3):255-273.
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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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  • Distribution of cognition between minds and artifacts: Augmentation of mediation? [REVIEW]Victor Kaptelinin - 1996 - AI and Society 10 (1):15-25.
    Two approaches to externally distributed individual cognition are contrasted in the paper. The first begins with making a distinction between minds and artifacts, both considered as structural components of larger-scale cognitive systems, while the second focuses on the dynamic coordination of internal and external resources within the context of human interaction with the world. Conceptual limitations of the first approach are discussed. The notion of functional organs is introduced and applied for identifying the types of abilities associated with efficient integration (...)
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  • Who shall be the arbiter of our intuitions?Daniel Kahneman - 1981 - Behavioral and Brain Sciences 4 (3):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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  • Mental models or formal rules?Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):368-380.
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  • The Strange Story of the Concept which Inaugurated Modern Theoretical Physics.Max Jammer - 2004 - Foundations of Physics 34 (11):1617-1641.
    ‘‘The strange Story of the Concept which inaugurated Modern Theoretical Physics’’ is the title of a lecture which I delivered on the invitation of Professor Franco Selleri at the University of Bari about 20 years ago. Since Professor Selleri himself has written several interesting papers on this concept and since the centennial of the birth of modern theoretical physics will be celebrated soon, I found it appropriate to dedicate this essay, containing so far unpublished critical and historical comments on this (...)
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  • Departing from consequentialism versus departing from decision theory.Frank Jackson - 1994 - Behavioral and Brain Sciences 17 (1):21-21.
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  • Sketches from a Design Process: Creative Cognition Inferred From Intermediate Products.Saskia Jaarsveld & Cees 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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  • 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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  • Elicitation rules and incompatible goals.Julie R. Irwin - 1994 - Behavioral and Brain Sciences 17 (1):20-21.
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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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  • SOAR as a world view, not a theory.Earl Hunt & R. Duncan Luce - 1992 - Behavioral and Brain Sciences 15 (3):447-448.
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  • The logical content of theories of deduction.Wilfrid Hodges - 1993 - Behavioral and Brain Sciences 16 (2):353-354.
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  • Another vote for rationality.Mary Henle - 1981 - Behavioral and Brain Sciences 4 (3):339-339.
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  • A flawed analogy?James Hendler - 1987 - Behavioral and Brain Sciences 10 (3):485-486.
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  • Truth or consequences.John Heil - 1994 - Behavioral and Brain Sciences 17 (1):19-20.
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  • Metacognition of Problem-Solving Strategies in Brazil, India, and the United States.C. Dominik Güss & Brian Wiley - 2007 - Journal of Cognition and Culture 7 (1-2):1-25.
    Metacognition, the observation of one's own thinking, is a key cognitive ability that allows humans to influence and restructure their own thought processes. The influence of culture on metacognitive strategies is a relatively new topic. Using Antonietti's, Ignazi's and Perego's questionnaire on metacognitive knowledge about problem-solving strategies, five strategies in three life domains were assessed among student samples in Brazil, India, and the United States, regarding the frequency, facility, and efficacy of these strategies. To investigate cross-cultural similarities and differences in (...)
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  • Consequences of consequentialism.Rick Grush - 1994 - Behavioral and Brain Sciences 17 (1):18-19.
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  • Human reasoning: Can we judge before we understand?Richard A. Griggs - 1981 - Behavioral and Brain Sciences 4 (3):338-339.
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  • Mental models: Rationality, representation and process.D. W. Green - 1993 - Behavioral and Brain Sciences 16 (2):352-353.
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  • Rule systems are not dead: Existential quantifiers are harder.Richard E. Grandy - 1993 - Behavioral and Brain Sciences 16 (2):351-352.
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  • Ambiguities in “the algorithmic level”.Alvin I. Goldman - 1987 - Behavioral and Brain Sciences 10 (3):484-485.
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  • A cognitive theory without inductive learning.Lev Goldfarb - 1992 - Behavioral and Brain Sciences 15 (3):446-447.
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  • Moral errors.Clark Glymour - 1994 - Behavioral and Brain Sciences 17 (1):17-18.
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  • Can children's irrationality be experimentally demonstrated?Sam Glucksberg - 1981 - Behavioral and Brain Sciences 4 (3):337-338.
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  • The study of cognition and instructional design: Mutual nurturance.Robert Glaser - 1987 - Behavioral and Brain Sciences 10 (3):483-484.
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  • Discovery in Cognitive Psychology: New Tools Inspire New Theories.Gerd Gigerenzer - 1992 - Science in Context 5 (2):329-350.
    The ArgumentScientific tools—measurement and calculation instruments, techniques of inference—straddle the line between the context of discovery and the context of justification. In discovery, new scientific tools suggest new theoretical metaphors and concepts; and in justification, these tool-derived theoretical metaphors and concepts are morelikely to be accepted by the scientific community if the tools are already entrenched in scientific practice.Techniques of statistical inference and hypothesis testing entered American psychology first as tools in the 1940s and 1950s and then as cognitive theories (...)
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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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  • Why study deduction?Kathleen M. Galotti & Lloyd K. Komatsu - 1993 - Behavioral and Brain Sciences 16 (2):350-350.
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  • Is consequentialism better regarded as a form of reasoning or as a pattern of behavior?Steve Fuller - 1994 - Behavioral and Brain Sciences 17 (1):16-17.
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  • Is Unified theories of cognition good strategy?Nico H. Frijda & Jan Elshout - 1992 - Behavioral and Brain Sciences 15 (3):445-446.
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  • Consequentialism and utility theory.Deborah Frisch - 1994 - Behavioral and Brain Sciences 17 (1):16-16.
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  • Mental models and informal logic.Alec Fisher - 1993 - Behavioral and Brain Sciences 16 (2):349-349.
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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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  • Deductive reasoning: What are taken to be the premises and how are they interpreted?Samuel Fillenbaum - 1993 - Behavioral and Brain Sciences 16 (2):348-349.
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  • The argument for mental models is unsound.James H. Fetzer - 1993 - Behavioral and Brain Sciences 16 (2):347-348.
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  • On modes of explanation.Rachel Joffe Falmagne - 1993 - Behavioral and Brain Sciences 16 (2):346-347.
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