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Induction, Algorithmic Learning Theory, and Philosophy

Michèle Friend ; Norma B. Goethe ; Valentina S. Harizanov (eds.)

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Epistemology; Mathematical Logic and Foundations; Mathematical Logic and Formal Languages; Philosophy of Science; Algorithms; Cognitive Psychology

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-1-4020-6126-4

ISBN electrónico

978-1-4020-6127-1

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer 2007

Tabla de contenidos

Between History and Logic

Brendan Larvor

In this paper, I argue that there cannot be a general and comprehensive account of scientific enquiry, for two reasons. The first is that our understanding of scientific enquiry depends on disciplines with incompatible standards of rigour and modes of explanation. I focus on logic and history. The second reason is that the rigour and success of empirical science depends on the particular features of a) domains of enquiry and b) research programmes. Consequently, our understanding of enquiry is more like a wisdom-tradition than a science, to which formal learning theory is a valuable addition.

II - Philosophy Papers | Pp. 259-278