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Qualitative inductive generalization and confirmation
pp. 231-248
Abstrakt
Inductive generalization is a defeasible type of inference which we use to reason from the particular to the universal. First, a number of systems are presented that provide different ways of implementing this inference pattern within first-order logic. These systems are defined within the adaptive logics framework for modeling defeasible reasoning. Next, the logics are re-interpreted as criteria of confirmation. It is argued that they withstand the comparison with two qualitative theories of confirmation, Hempel's satisfaction criterion and hypothetico-deductive confirmation.
Publication details
Published in:
Magnani Lorenzo, Bertolotti Tommaso (2017) Springer handbook of model-based science. Dordrecht, Springer.
Seiten: 231-248
DOI: 10.1007/978-3-319-30526-4_11
Referenz:
Beirlaen Mathieu (2017) „Qualitative inductive generalization and confirmation“, In: L. Magnani & T. Bertolotti (eds.), Springer handbook of model-based science, Dordrecht, Springer, 231–248.