Results for 'metaknowledge'

16 found
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  1.  20
    Metaknowledge may or may not facilitate knowledge and performance.Charles P. Shimp - 2003 - Behavioral and Brain Sciences 26 (3):354-355.
    Metaknowledge may not always facilitate acquisition of knowledge or performance of complex tasks. A pigeon, for example, depending on the task, can report what it is doing even if it cannot perform the task well, and it can fail to report what it is doing when it performs the task well (Shimp 1982; 1983).
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  2.  86
    Does observational knowledge require metaknowledge? A dialogue on Sellars.Timm Triplett & Willem deVries - 2007 - International Journal of Philosophical Studies 15 (1):23 – 51.
    In the following dialogue between TT - a foundationalist - and WdeV - a Sellarsian, we offer our differing assessments of the principle for observational knowledge proposed in Wilfrid Sellars's 'Empiricism and the Philosophy of Mind'. Sellars writes: 'For a Konstatierung "This is green" to "express observational knowledge", not only must it be a symptom or sign of the presence of a green object in standard conditions, but the perceiver must know that tokens of "This is green" are symptoms of (...)
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  3.  15
    Using constraint metaknowledge to reduce arc consistency computation.Christian Bessiére, Eugene C. Freuder & Jean-Charles Regin - 1999 - Artificial Intelligence 107 (1):125-148.
  4. Knowledge as Metaknowledge.John-Michael Kuczynski - unknown
    Do I know that my chair won’t sprout wings and fly away? I know that it would be needlessly anomaly-generative to believe that it will. Setting aside limiting-cases, such as my knowledge that I am conscious, what we refer to as knowing that such-and-such is really knowledge that it would be needlessly anomaly-generative to believe otherwise. Consequently, what we typically refer to knowing that such-and-such is the case is really meta-knowledge to the effect that granting such-and-such eliminates mysteries and denying (...)
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  5. The Ins and Outs of 'Metaknowledge'.John Bender - 1988 - Analysis 48 (4):167 - 176.
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  6.  8
    MUSCADET: An automatic theorem proving system using knowledge and metaknowledge in mathematics.Dominique Pastre - 1989 - Artificial Intelligence 38 (3):257-318.
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  7.  42
    Model for knowledge and legal expert systems.Anja Oskamp - 1992 - Artificial Intelligence and Law 1 (4):245-274.
    This paper presents a four layer model for working with legal knowledge in expert systems. It distinguishes five sources of knowledge. Four contain basic legal knowledge found in published and unpublished sources. The fifth consists of legal metaknowledge. In the model the four basic legal knowledge sources are placed at the lowest level. The metaknowledge is placed at levels above the other four knowledge sources. The assumption is that the knowledge is represented only once. The use of (...) at various levels should make it possible to use the appropriate knowledge for the problem presented to the system. The knowledge has to be represented as closely to the original format as possible for this purpose. Suitable representation formalisms for the various types of knowledge in the five knowledge sources are discussed. It is not possible to indicate a best representation formalism for each knowledge source. (shrink)
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  8.  90
    Can realists know that they know?Murat Baç - 2004 - Acta Analytica 19 (32):65-90.
    Realists typically suppose that nonepistemic truth is an independent condition on propositional knowledge. Few philosophers, however, have seriously questioned the meta-epistemic consequences of combining alethic and epistemic variants of realism. In this paper I aim to show that the truth condition in the customary definition of knowledge presents an important problem for the realist at higher epistemic levels. According to my argument, traditional epistemic-logical analyses of metaknowledge fail because of their extensionalism and certain presuppositions they have about the satisfaction (...)
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  9.  3
    Satisfying Reason: Studies in the Theory of Knowledge.N. Rescher - 1995 - Springer Verlag.
    Leibniz said with a mixture of admiration and inspiration that the Duchess Sophie of Hannover always wanted to know the reason why behind the reason why. And that is just how rationality works: it wants to leave no loose ends to understanding, seeking to enable us to understand things through to the bitter end. In the twelve chapters that make up Satisfying Reason, Rescher develops and defends the following perspective: That rationality is a cardinal virtue in cognitive matters. That this (...)
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  10. On evolution of thinking about semiosis: semiotics meets cognitive science.Piotr Konderak - 2017 - Avant: Trends in Interdisciplinary Studies 7 (2):82-103.
    The aim of the paper is to sketch an idea—seen from the point of view of a cognitive scientist—of cognitive semiotics as a discipline. Consequently, the article presents aspects of the relationship between the two disciplines: semiotics and cognitive science. The main assumption of the argumentation is that at least some semiotic processes are also cognitive processes. At the methodological level, this claim allows for application of cognitive models as explanations of selected semiotic processes. In particular, the processes of embedded (...)
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  11. Formalizing multiple interpretation of legal knowledge.Andreas Hamfelt - 1995 - Artificial Intelligence and Law 3 (4):221-265.
    A representation methodology for knowledge allowing multiple interpretations is described. It is based on the following conception of legal knowledge and its open texture. Since indeterminate, legal knowledge must be adapted to fit the circumstances of the cases to which it is applied. Whether a certain adaptation is lawful or not is measured by metaknowledge. But as this too is indeterminate, its adaptation to the case must be measured by metametaknowledge, etc. This hierarchical model of law is quite well-established (...)
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  12.  16
    Response to Professors Long, Smith, and Beilby.William J. Abraham - 2008 - Philosophia Christi 10 (2):363-373.
    Canonical theists insist that the Church initially canonized a Trinitarian ontology, leaving epistemic convictions to speak for themselves. Pursuing epistemology is a vital exercise in its own right. Within this, particularism is compatible with metaknowledge, with a doctrine of analogy, and with the propositional content of Christian theism. We can also build on past insights and accommodate ordinary believers who have no idea what epistemology is. This program overlaps with the work of Plantinga but differs in its analysis of (...)
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  13. Logic-Language-Ontology.Urszula B. Wybraniec-Skardowska - 2022 - Cham, Switzerland: Springer Nature, Birkhäuser, Studies in Universal Logic series.
    The book is a collection of papers and aims to unify the questions of syntax and semantics of language, which are included in logic, philosophy and ontology of language. The leading motif of the presented selection of works is the differentiation between linguistic tokens (material, concrete objects) and linguistic types (ideal, abstract objects) following two philosophical trends: nominalism (concretism) and Platonizing version of realism. The opening article under the title “The Dual Ontological Nature of Language Signs and the Problem of (...)
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  14.  71
    The Problem of the Criterion, Knowing that One Knows and Infinitism.Tito Alencar Flores - 2005 - Veritas – Revista de Filosofia da Pucrs 50 (4):109-128.
    O problema do critério é um dos mais importantes da epistemologia. A resposta que se dá a ele definirá um aspecto fundamental das teorias do conhecimento. Neste ensaio, o problema do critério é apresentado e algumas das conseqüências geradas pela aceitação de exigências metaepistemicas são analisadas. Em especial, essas conseqüências são avaliadas em relação ao infinitismo – a teoria epistemológica segundo a qual as razões que sustentam nossas crenças devem ser infinitas em número e não-repetidas. Ao final, sustenta-se que cláusulas (...)
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  15. Implicit metacognition, explicit uncertainty, and the monitoring/control distinction in animal metacognition.Lisa K. Son, Bennett L. Schwartz & Nate Kornell - 2003 - Behavioral and Brain Sciences 26 (3):355-356.
    Smith et al. demonstrate the viability of animal metacognition research. We commend their effort and suggest three avenues of research. The first concerns whether animals are explicitly aware of their metacognitive processes. The second asks whether animals have metaknowledge of their own uncertain responses. The third issue concerns the monitoring/control distinction. We suggest some ways in which these issues elucidate metacognitive processes in nonhuman animals.
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  16.  73
    Expert networks: Paradigmatic conflict, technological rapproachement. [REVIEW]R. C. Lacher - 1993 - Minds and Machines 3 (1):53-71.
    A rule-based expert system is demonstrated to have both a symbolic computational network representation and a sub-symbolic connectionist representation. These alternate views enhance the usefulness of the original system by facilitating introduction of connectionist learning methods into the symbolic domain. The connectionist representation learns and stores metaknowledge in highly connected subnetworks and domain knowledge in a sparsely connected expert network superstructure. The total connectivity of the neural network representation approximates that of real neural systems and hence avoids scaling and (...)
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