Large scale structure inductive inference de norton john (29 resultados)

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  • Idioma: Inglés

    Editorial: MP-CAL University of Calgary, 2024

    1773855409 / 9781773855400

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    Editorial: University of Calgary Press, 2024

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Editorial: University of Calgary Press, 2024

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    Editorial: University of Calgary Press, CA, 2024

    1773855409 / 9781773855400

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    Paperback. Condición: New. The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

  • Idioma: Inglés

    Editorial: University of Calgary Press, 2024

    1773855409 / 9781773855400

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    Condición: New. In English.

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    Editorial: University of Calgary Press, 2024

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Paperback. Condición: Brand New. 448 pages. 9.00x6.00x1.22 inches. In Stock.

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    Editorial: MP-CAL University of Calgary, 2024

    1773855395 / 9781773855394

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    Editorial: University of Calgary Press, CA, 2024

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    Paperback. Condición: New. The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

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    Editorial: University of Calgary Press, 2024

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    Editorial: University of Calgary Press, 2024

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    Editorial: University of Calgary Press, 2024

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    Condición: New. In English.

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    Editorial: University of Calgary Press, CA, 2024

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    Hardback. Condición: New. The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

  • Idioma: Inglés

    Editorial: University of Calgary Press, 2024

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Hardcover. Condición: Brand New. 448 pages. 9.00x6.00x9.00 inches. In Stock.

  • Idioma: Inglés

    Editorial: University of Calgary Press, CA, 2024

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    Hardback. Condición: New. The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

  • Idioma: Inglés

    Editorial: University of Calgary Press, 2024

    1773855409 / 9781773855400

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    Paperback. Condición: Brand New. 448 pages. 9.00x6.00x1.22 inches. In Stock. This item is printed on demand.

  • Idioma: Inglés

    Editorial: University Of Calgary Press Aug 2024, 2024

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference. Englisch.

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    Editorial: University of Calgary Press, 2024

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    Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

  • Idioma: Inglés

    Editorial: University Of Calgary Press, 2024

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

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    Editorial: University Of Calgary Press Aug 2024, 2024

    1773855395 / 9781773855394

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    Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference. Englisch.

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    Editorial: University of Calgary Press, 2024

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    Hardcover. Condición: Brand New. 448 pages. 9.00x6.00x9.00 inches. In Stock. This item is printed on demand.

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    Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by provisional hypotheses that are later supported by other facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

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    Editorial: University of Calgary Press, 2024

    1773855395 / 9781773855394

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