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  1. Philosophie de l'intelligence émotionnelle.Sfetcu Nicolae -
    Une préoccupation des chercheurs est de savoir si l'intelligence émotionnelle est une théorie de la personnalité, une forme d'intelligence ou une combinaison des deux. De nombreuses études considèrent l'intelligence émotionnelle comme un facteur personnel associé à la compétence. Mais la plupart des chercheurs considèrent l'intelligence émotionnelle comme une conscience émotionnelle de soi et des autres, en plus de l'efficacité professionnelle et de la gestion émotionnelle. L'intelligence émotionnelle est considéré comme une capacité au niveau ontologique incluant la compétence personnelle et sociale, (...)
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  2. Intelligence and Creativity Share a Common Cognitive and Neural Basis.Emily Frith, Daniel B. Elbich, Alexander P. Christensen, Monica D. Rosenberg, Qunlin Chen, Michael J. Kane, Paul J. Silvia, Paul Seli & Roger E. Beaty - 2021 - Journal of Experimental Psychology: General 150 (4):609-632.
    Are intelligence and creativity distinct abilities, or do they rely on the same cognitive and neural systems? We sought to quantify the extent to which intelligence and creative cognition overlap in brain and behavior by combining machine learning of fMRI data and latent variable modeling of cognitive ability data in a sample of young adults (N = 186) who completed a battery of intelligence and creative thinking tasks. The study had 3 analytic goals: (a) to assess contributions of specific facets (...)
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  3. La connaissance tacite dans l'analyse du renseignement.Sfetcu Nicolae - manuscript
    Le point de vue de Michael Polanyi sur la science peut aider à comprendre le processus et le « produit » de l'analyse du renseignement. Les arguments de Michael Polanyi concernant les activités des scientifiques sont transférables dans le domaine de l'analyse du renseignement, offrant une perspective nuancée pour percevoir les défis épistémologiques et les problèmes auxquels sont confrontés les analystes. Les concepts de « connaissance tacite » et de « connaissance personnelle » de Polanyi contribuent au développement d'une compréhension (...)
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  4. Intelligence as Accurate Prediction.Trond A. Tjøstheim & Andreas Stephens - 2021 - Review of Philosophy and Psychology:1-25.
    This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations (...)
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  5. The First Minds: Caterpillars, ‘Karyotes and Consciousness. Miller Jr - 2021 - Philosophical Psychology 34 (2):322-325.
  6. When Can Young Children Reason About an Exclusive Disjunction? A Follow Up To.Shalini Gautam, Thomas Suddendorf & Jonathan Redshaw - 2021 - Cognition 207:104507.
    Mody and Carey (2016) investigated children's capacity to reason by the disjunctive syllogism by hiding stickers within two pairs of cups (i.e., there is one sticker in cup A or B, and one in cup C or D) and then showing one cup to be empty. They found that children as young as 3 years of age chose the most likely cup (i.e., not A, therefore choose B; and disregard C and D) and suggested that these children were representing the (...)
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  7. Galton and Spearman Revisited: Can Single General Discrimination Ability Drive Performance on Diverse Sensorimotor Tasks and Explain Intelligence?Jan Jastrzębski, Bartłomiej Kroczek & Adam Chuderski - forthcoming - Journal of Experimental Psychology: General.
    The well-known hypothesis of Sir Francis Galton (1883) posed that individual differences in performance on diverse sensorimotor tasks are rooted in single general sensory discrimination ability. Relatedly, Charles Spearman (1904) hypothesized that this discrimination ability and intelligence share the same neural basis and thus should be statistically equivalent. Despite a century of research, existing evidence for these 2 hypotheses is still inconclusive. Study 1 modeled the factor structure for, to date, the most comprehensive battery of tasks tapping into visual discrimination, (...)
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  8. Superinteligentny Lewiatan: Zarys problemu autonomii człowieka a autonomizacji urządzeń.Adrian Mróz - 2020 - Kultura I Historia 37 (1):1-18.
    Celem niniejszej pracy jest zastosowanie wizji „Lewiatana” Thomasa Hobbesa do koncepcji superinteligencji lub nadludzkiej inteligencji, które dyskutowane jest wśród transhumanistów i poruszone jest przez takich filozofów i futurologów jak między innymi Nick Bostrom, Stanisław Lem, albo Ray Kurzweil. Inspiracją mojej pracy były pytania w rodzaju: „kiedy człowiek przestaje być autonomicznym podmiotem?” albo „czy człowiek w ogóle może być samodzielny?”. Niemniej jednak wydaje mi się, że takie pytania mogą się pojawić wtedy, kiedy człowieka rozpoznamy jako zwierzę polityczne (politikon zoon w sensie (...)
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  9. Street Smarts.Devin Sanchez Curry - forthcoming - Synthese:1-20.
    A pluralistic approach to folk psychology must countenance the evaluative, regulatory, predictive, and explanatory roles played by attributions of intelligence in social practices across cultures. Building off of the work of the psychologist Robert Sternberg and the philosophers Gilbert Ryle and Daniel Dennett, I argue that a relativistic interpretivism best accounts for the many varieties of intelligence that emerge from folk discourse. To be intelligent (in the sense invoked in folk psychological practices) is to be comparatively good at solving intellectual (...)
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  10. Artificial Intelligence Versus Agape Love.Ted Peters - 2019 - Forum Philosophicum: International Journal for Philosophy 24 (2):259-278.
    As Artificial Intelligence researchers attempt to emulate human intelligence and transhumanists work toward superintelligence, philosophers and theologians confront a dilemma: we must either, on the one horn, abandon the view that the defining feature of humanity is rationality and propose an account of spirituality that dissociates it from reason; or, on the other horn, find a way to invalidate the growing faith in a posthuman future shaped by the enhancements of Intelligence Amplification or the progress of Artificial Intelligence. I grasp (...)
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  11. Model of Intelligence.Miro Brada - manuscript
    Model of intelligence and new methods to assess IQ. MA thesis in 1998 (Comenius University). Art exhibitions "From Animation" London 2013, "Fading Memory" Weißenohe 2015, TAIF Tokyo 2017. Conferences in Santorini, Daejon 2016, Geneva 2017.
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  12. Epistemological Problems in the Philosophy of Science, II.Edward MacKinnon - 1968 - Review of Metaphysics 22 (2):329 - 358.
    This article completes the study begun in I by a detailed consideration of errol harris's, "the foundations of metaphysics in science" and by an independent interpretation of the epistemological foundations of scientific theories. This is done in terms of two components labelled 'a physical language' and 'a mathematical language'. A physical language is conceived as a transformed extension of ordinary language which preserves its basic structural principles while modifying its descriptive metaphysics. The relation between such a physical language and a (...)
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  13. Octology.Andrej Poleev - 2010
    The manuscript describes a new scientific discipline called Octology, which should unify morphogenetic linguistics and neurobiology to investigate the development of the words, cognition and behavior.
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  14. The Need for an Examination of Certain Hypotheses in Mental Tests.Beardsley Ruml - 1920 - Journal of Philosophy, Psychology and Scientific Methods 17 (3):57-61.
  15. Celebrating 300 Million Years of the Mind : A Bird's Eye View.Pater J. Snyder - 2007 - In Henri Cohen & Brigitte Stemmer (eds.), Consciousness and Cognition: Fragments of Mind and Brain. Elxevier Academic Press.
The Concept of Intelligence
  1. *G* as Bridge Model.Devin Sanchez Curry - forthcoming - Philosophy of Science.
    g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of the relationship between (...)
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General Intelligence
  1. *G* as Bridge Model.Devin Sanchez Curry - forthcoming - Philosophy of Science.
    g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of the relationship between (...)
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Measures of Intelligence
  1. *G* as Bridge Model.Devin Sanchez Curry - forthcoming - Philosophy of Science.
    g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of the relationship between (...)
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Intelligence, Misc
  1. Science is Not Always “Self-Correcting” : Fact–Value Conflation and the Study of Intelligence.Nathan Cofnas - 2016 - Foundations of Science 21 (3):477-492.
    Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be correct in all (...)
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