Knowledge and its Limits (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
352
Utgivningsdatum
2002-10-01
Förlag
OUP Oxford
Illustratör/Fotograf
index bibliography
Illustrationer
bibliog., index
Dimensioner
234 x 156 x 21 mm
Vikt
820 g
Antal komponenter
1
Komponenter
Paperback
ISBN
9780199256563

Knowledge and its Limits

av Timothy Williamson
Häftad,  Engelska, 2002-10-01
361
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Knowledge and its Limits presents a systematic new conception of knowledge as a kind of mental state. Williamson casts light on many philosophical problems: scepticism, evidence, probability and assertion, realism and anti-realism, and the limits of what can be known. The result is a new way of doing epistemology, and a notable contribution also to the philosophy of mind.
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Recensioner i media

Frank Jackson, Australasian Journal of Philosophy 'radical and challenging . . . without question and important exercise of the "let me show you a new way of looking at things" kind; something we sorely need in epistemology'

Keith DeRose, British Journal for the Philosophy of Science 'the best book in epistemology to come out since 1975'

Brian McLaughlin and John Hawthorne, Times Literary Supplement Williamson provides a battery of considerations designed to convince us that the concept of knowledge is the most central and vital member of the family of epistemological concepts ... If Williamson is right, we shall be forced to admit that much recent epistemology is ill-conceived... He also makes important contributions to our understanding of the nature of mind and the relationship of mind to world. Knowledge and its Limits is striking throughout for its clarity, originality of thought, technical sophistication and philosophical breadth ... Careful study of this work will be richly rewarded.

Övrig information

<br>Timothy Williamson is Professor of Philosophy at the University of Edinburgh.<br>

Innehållsförteckning

A State of Mind; Broadness; Primeness; Anti-Luminosity; Margins and Iterations; An Application; Sensitivity; Scepticism; Evidence; Evidential Probability; Assertion; Structural Unknowability.

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