Description

Book Synopsis
A thorough and practical introduction to inductive logic with a focus on arguments and the rules used for making inductive inferences.

This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion.

After explaining the basic features of an argument and the different standards for evaluating arguments, the book covers inferences that do not require precise probabilities or the probability calculus: the induction by confirmation, inference to the best explanation, and Mill's methods. The second half of the book presents arguments that do require the probability calculus, first explaining the rules of probability, and then the proportional syllogism, inductive generalization

Argument and Inference An Introduction to

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    A Hardback by Gregory Johnson

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      Book details

      Publisher MIT Press Ltd
      Published 6 January 2017
      ISBN-13 9780262035255
      978-0262035255
      ISBN-10 0262035251
      Also in:
      Philosophy: logic

      Description

      Book Synopsis
      A thorough and practical introduction to inductive logic with a focus on arguments and the rules used for making inductive inferences.

      This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion.

      After explaining the basic features of an argument and the different standards for evaluating arguments, the book covers inferences that do not require precise probabilities or the probability calculus: the induction by confirmation, inference to the best explanation, and Mill's methods. The second half of the book presents arguments that do require the probability calculus, first explaining the rules of probability, and then the proportional syllogism, inductive generalization

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