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Genetic epistemology

New York,: Columbia University Press (1970)

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  1. The generative-rules definition of creativity.Joseph O'Rourke - 1994 - Behavioral and Brain Sciences 17 (3):547-547.
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  • A sensorimotor account of vision and visual consciousness.J. Kevin O’Regan & Alva Noë - 2001 - Behavioral and Brain Sciences 24 (5):883-917.
    Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of (...)
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  • Mental models and the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
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  • The computational metaphor and environmentalism.John Nolan - 1992 - AI and Society 6 (1):50-61.
    The Computational Metaphor is an extremely influential notion, and more than any other trend has given rise to the field of Cognitive Science. Environmentalism is at present better formalised as a political movement than as a scientific paradigm, despite significant research by Gibson and his followers. This article attempts to address the difficult problem of synthesising these two apparently antagonistic research paradigms.
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  • Do mental models provide an adequate account of syllogistic reasoning performance?Stephen E. Newstead - 1993 - Behavioral and Brain Sciences 16 (2):359-360.
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  • Peirce-suit of truth – why inference to the best explanation and abduction ought not to be confused.Gerhard Minnameier - 2004 - Erkenntnis 60 (1):75-105.
    It is well known that the process of scientific inquiry, according to Peirce, is drivenby three types of inference, namely abduction, deduction, and induction. What isbehind these labels is, however, not so clear. In particular, the common identificationof abduction with Inference to the Best Explanation (IBE) begs the question,since IBE appears to be covered by Peirce's concept of induction, not that of abduction.Consequently, abduction ought to be distinguished from IBE, at least on Peirce's account. The main aim of the paper, (...)
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  • Imagery and meaning, the cognitive science connection.Arthur I. Miller - 1991 - International Studies in the Philosophy of Science 5 (1):35 – 48.
    Abstract Taking the integrated viewpoints of causal theory of reference, cognitive science and the notion of correspondence principles from physics, this paper addresses the problems of creativity, the nature of visual imagery and the manner in which science progresses.
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  • Understanding Understanding Mathematics.Edwina Rissland Michener - 1978 - Cognitive Science 2 (4):361-383.
    In this paper we look at some of the ingredients and processes involved in the understanding of mathematics. We analyze elements of mathematical knowledge, organize them in a coherent way and take note of certain classes of items that share noteworthy roles in understanding. We thus build a conceptual framework in which to talk about mathematical knowledge. We then use this representation to describe the acquisition of understanding. We also report on classroom experience with these ideas.
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  • Contributions from the Philosophy of Science to the Education of Science Teachers.Vicente Mellado, Constantino Ruiz, María Luisa Bermejo & Roque Jiménez - 2006 - Science & Education 15 (5):419-445.
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  • Putting Descartes before the horse (again!).Brendan McGonigle & Margaret Chalmers - 2008 - Behavioral and Brain Sciences 31 (2):142-143.
    The stance espoused in the target article confounds cultural symbolic achievements with individual cognitive competences. With no explicit role for learning, the core rationale for claiming a major functional discontinuity between humans and other species rests on a hybrid formal model LISA (Learning and Inference with Schemas and Analogies) now overtaken by new models of cognitive growth and new empirical studies within an embodied systems stance.
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  • Science and Worldviews in the Classroom: Joseph Priestley and Photosynthesis.Michael R. Matthews - 2009 - Science & Education 18 (6-7):929-960.
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  • History, philosophy and science teaching: A bibliography.Michael R. Matthews - 1989 - Synthese 80 (1):185-196.
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  • History, philosophy, and science teaching: The present rapprochement.Michael R. Matthews - 1992 - Science & Education 1 (1):11-47.
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  • A role for history and philosophy in science teaching.Michael Robert Matthews - 1988 - Educational Philosophy and Theory 20 (2):67–81.
    It is thirty years since the last major reforms of science education. many believe that it is time for reappraisal of these earlier curricula, and for the renewal of science education-its content, aims, methods. also, and importantly, there is a renewed interest in the preparation of science teachers. this essay is a contribution to that task.
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  • Adaptive rationality and identifiability of psychological processes.Dominic W. Massaro & Daniel Friedman - 1991 - Behavioral and Brain Sciences 14 (3):499-501.
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  • The theory of bounded rationality and the problem of legitimation.James E. Martin, George B. Kleindorfer & William R. Brashers - 1987 - Journal for the Theory of Social Behaviour 17 (1):63–82.
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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
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  • A comparison of two IPM training strategies in China: The importance of concepts of the rice ecosystem for sustainable insect pest management. [REVIEW]James Mangan & Margaret S. Mangan - 1998 - Agriculture and Human Values 15 (3):209-221.
    Our study in China of two Integrated Pest Management (IPM) training programs for farmers shows that one is more effective than the other in reducing pesticide applications as well as in imparting to farmers an understanding of the rice ecosystem. The two training programs are based upon two different paradigms of IPM. This article uses a triangulated method of measuring concept attainment among farmer trainees in China as one measure of the effectiveness of training. Concepts of insect ecology brought about (...)
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  • Visualizing the possibilities.Bruce J. MacLennan - 1993 - Behavioral and Brain Sciences 16 (2):356-357.
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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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  • The cognitive origins of Bourdieu's habitus.Omar Lizardo - 2004 - Journal for the Theory of Social Behaviour 34 (4):375–401.
    This paper aims to balance the conceptual reception of Bourdieu's sociology in the United States through a conceptual re-examination of the concept of Habitus. I retrace the intellectual lineage of the Habitus idea, showing it to have roots in Claude Levi-Strauss structural anthropology and in the developmental psychology of Jean Piaget, especially the latter's generalization of the idea of operations from mathematics to the study of practical, bodily-mediated cognition. One important payoff of this exercise is that the common misinterpretation of (...)
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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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  • Analogy as relational priming: A developmental and computational perspective on the origins of a complex cognitive skill.Robert Leech, Denis Mareschal & Richard P. Cooper - 2008 - Behavioral and Brain Sciences 31 (4):357-378.
    The development of analogical reasoning has traditionally been understood in terms of theories of adult competence. This approach emphasizes structured representations and structure mapping. In contrast, we argue that by taking a developmental perspective, analogical reasoning can be viewed as the product of a substantially different cognitive ability – relational priming. To illustrate this, we present a computational (here connectionist) account where analogy arises gradually as a by-product of pattern completion in a recurrent network. Initial exposure to a situation primes (...)
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  • The problem of content in embodied memory.Martin Kurthen, Thomas Grunwald, Christoph Helmstaedter & Christian E. Elger - 2003 - Behavioral and Brain Sciences 26 (5):641-642.
    An action-oriented theory of embodied memory is favorable for many reasons, but it will not provide a quick yet clean solution to the grounding problem in the way Glenberg (1997t) envisages. Although structural mapping via analogical representations may be an adequate mechanism of cognitive representation, it will not suffice to explain representation as such.
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  • Genetic epistemology, equilibration and the rationality of scientific change.Richard F. Kitchener - 1987 - Studies in History and Philosophy of Science Part A 18 (3):339-366.
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  • Genetic epistemology, history of science and genetic psychology.Richard F. Kitchener - 1985 - Synthese 65 (1):3 - 31.
    Genetic epistemology analyzes the growth of knowledge both in the individual person (genetic psychology) and in the socio-historical realm (the history of science). But what the relationship is between the history of science and genetic psychology remains unclear. The biogenetic law that ontogeny recapitulates phylogeny is inadequate as a characterization of the relation. A critical examination of Piaget's Introduction à l'Épistémologie Généntique indicates these are several examples of what I call stage laws common to both areas. Furthermore, there is at (...)
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  • A comparison between evolutionary and genetic epistemology or: Jean Piaget's contribution to a post-Darwinian epistemology. [REVIEW]Thomas Kesselring - 1994 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 25 (2):293 - 325.
    The viewpoint of Evolutionary Epistemology (EE) and of Genetic Epistemology (GE) on classical epistemological questions is strikingly different: EE starts with Evolutionary Biology, the subject of which is population's dynamics. GE, however, starts with Developmental Psychology and thus focusses the development of individuals. By EE knowledge is seen as portraying or copying process, and truth is interpreted as a product of adaptation, whereas for GE knowledge is due to a construction process in which the production of true insights is only (...)
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  • Environmental influences on neural systems of relational complexity.M. Layne Kalbfleisch, Megan T. deBettencourt, Rebecca Kopperman, Meredith Banasiak, Joshua M. Roberts & Maryam Halavi - 2013 - Frontiers in Psychology 4.
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  • Vicissitudes of history in Vygotsky’s cultural-historical theory.Gordana Jovanović - 2015 - History of the Human Sciences 28 (2):10-33.
    The aim of this article is to explore the ways and forms in which history is present, represented and used in Vygotsky’s theorizing. Given the fact that Vygotsky’s theory is usually described as a cultural-historical theory, the issue of history is necessarily implicated in the theory itself. However, there is still a gap between history as implicated in the theory and an explicit theorizing of history – both in Vygotsky’s writings and in Vygotskian scholarship. Therefore it is expected that it (...)
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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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  • Conscious thought processes and creativity.Maria F. Ippolito - 1994 - Behavioral and Brain Sciences 17 (3):546-547.
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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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  • Education of moral beings: the distortion of Habermas’ empirical sources.Hanna-Maija Huhtala & Katariina Holma - 2019 - Ethics and Education 14 (2):171-183.
    ABSTRACTThis article scrutinises one of the mainstream views of how one grows into responsible membership of society; the view based on Jürgen Habermas’, Lawrence Kohlberg’s and Jean Piaget’s theories. Habermas praises Kohlberg’s and Piaget’s psychological theories and uses them as empirical sources crucial for his theoretical work. We argue that this view should be revised in light of new empirical findings as Habermas’ Kohlberg’s and Piaget’s view is based on a false understanding of the development and functioning of human reason (...)
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  • Regulatory Constructivism: On the Relation between Evolutionary Epistemology, Genetic Epistemology and Piaget's Genetic Epistemology.C. A. Hooker - 1994 - Biology and Philosophy 9 (2):197.
    It is argued that fundamental to Piaget's life works is a biologically based naturalism in which the living world is a nested complex of self-regulating, self-organising (constructing) adaptive systems. A structuralist-rationalist overlay on this core position is distinguished and it is shown how it may be excised without significant loss of content or insight. A new and richer conception of the nature of Piaget's genetic epistemology emerges, one which enjoys rich interrelationships with evolutionary epistemology. These are explored and it is (...)
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  • Probing the “Achilles' heel” of rational analysis.Keith J. Holyoak - 1991 - Behavioral and Brain Sciences 14 (3):498-499.
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  • Is Present Time a Precondition for the Existence of the Material and Public World?Dwight Holbrook - 2015 - Social Epistemology 29 (1):118-144.
    Is Present Time a Precondition for the Existence of the Material and Public World?. . ???aop.label???. doi: 10.1080/02691728.2013.782591.
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  • Reflective Argumentation: A Cognitive Function of Arguing.Michael H. G. Hoffmann - 2016 - Argumentation 30 (4):365-397.
    Why do we formulate arguments? Usually, things such as persuading opponents, finding consensus, and justifying knowledge are listed as functions of arguments. But arguments can also be used to stimulate reflection on one’s own reasoning. Since this cognitive function of arguments should be important to improve the quality of people’s arguments and reasoning, for learning processes, for coping with “wicked problems,” and for the resolution of conflicts, it deserves to be studied in its own right. This contribution develops first steps (...)
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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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  • Rational analysis and the Lens model.Reid Hastie & Kenneth R. Hammond - 1991 - Behavioral and Brain Sciences 14 (3):498-498.
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  • Romanticism and Romantic Science: Their Contribution to Science Education.Yannis Hadzigeorgiou & Roland Schulz - 2014 - Science & Education 23 (10):1963-2006.
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  • Comparing the long-term evolution of ``cognitive invariances'' in physics with a dynamics in states of consciousness.Gerhard Grössing - 2001 - Foundations of Science 6 (4):255-272.
    It is shown that the evolution of physics canin several regards be described by elements of``regression'', i.e., that within a certaintradition of ideas one begins with theconstruction of most ``plausible'' statements(axioms) at hand, and then ``works onselfbackwards'' with respect to developmental terms.As a consequence of this strategy, the furtherwork proceeds along such a ``regressive'' path,the more one arrives at concepts andrelationships which are unexpected or evencounter-intuitive in terms of our everydayexperiences. However, a comparable phenomenology is wellknown from studies on states (...)
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  • Research Integrity and Everyday Practice of Science.Frederick Grinnell - 2013 - Science and Engineering Ethics 19 (3):685-701.
    Science traditionally is taught as a linear process based on logic and carried out by objective researchers following the scientific method. Practice of science is a far more nuanced enterprise, one in which intuition and passion become just as important as objectivity and logic. Whether the activity is committing to study a particular research problem, drawing conclusions about a hypothesis under investigation, choosing whether to count results as data or experimental noise, or deciding what information to present in a research (...)
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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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  • Bayes in the context of suboptimality.Robert A. M. Gregson - 1991 - Behavioral and Brain Sciences 14 (3):497-498.
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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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  • Evolutionary Epistemology: Two Research Avenues, Three Schools, and A Single and Shared Agenda.Nathalie Gontier & Michael Bradie - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (2):197-209.
    This special issue for the Journal for General Philosophy of Science is devoted to exploring the impact and many ramifications of current research in evolutionary epistemology. Evolutionary epistemology is an inter- and multidisciplinary area of research that can be divided into two ever-inclusive research avenues. One research avenue expands on the EEM program and investigates the epistemology of evolution. The other research avenue builds on the EET program and researches the evolution of epistemology. Since its conception, EE has developed three (...)
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  • Optimality and psychological explanation.Peter Godfrey-Smith - 1991 - Behavioral and Brain Sciences 14 (3):496-497.
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  • Creativity theory: Detail and testability.K. J. Gilhooly - 1994 - Behavioral and Brain Sciences 17 (3):544-545.
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  • Does the environment have the same structure as Bayes' theorem?Gerd Gigerenzer - 1991 - Behavioral and Brain Sciences 14 (3):495-496.
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