
Probabilistic Knowledge
Sarah Moss(Author)
Oxford University Press
Published on 22. February 2018
Book
Hardback
282 pages
978-0-19-879215-4 (ISBN)
Description
Traditional philosophical discussions of knowledge have focused on the epistemic status of full beliefs. Sarah Moss argues that in addition to full beliefs, credences can constitute knowledge. For instance, your 0.4 credence that it is raining outside can constitute knowledge, in just the same way that your full beliefs can. In addition, you can know that it might be raining, and that if it is raining then it is probably cloudy, where this knowledge is not knowledge of propositions, but of probabilistic contents.
The notion of probabilistic content introduced in this book plays a central role not only in epistemology, but in the philosophy of mind and language as well. Just as tradition holds that you believe and assert propositions, you can believe and assert probabilistic contents. Accepting that we can believe, assert, and know probabilistic contents has significant consequences for many philosophical debates, including debates about the relationship between full belief and credence, the semantics of epistemic modals and conditionals, the contents of perceptual experience, peer disagreement, pragmatic encroachment, perceptual dogmatism, and transformative experience. In addition, accepting probabilistic knowledge can help us discredit negative evaluations of female speech, explain why merely statistical evidence is insufficient for legal proof, and identify epistemic norms violated by acts of racial profiling. Hence the central theses of this book not only help us better understand the nature of our own mental states, but also help us better understand the nature of our responsibilities to each other.
The notion of probabilistic content introduced in this book plays a central role not only in epistemology, but in the philosophy of mind and language as well. Just as tradition holds that you believe and assert propositions, you can believe and assert probabilistic contents. Accepting that we can believe, assert, and know probabilistic contents has significant consequences for many philosophical debates, including debates about the relationship between full belief and credence, the semantics of epistemic modals and conditionals, the contents of perceptual experience, peer disagreement, pragmatic encroachment, perceptual dogmatism, and transformative experience. In addition, accepting probabilistic knowledge can help us discredit negative evaluations of female speech, explain why merely statistical evidence is insufficient for legal proof, and identify epistemic norms violated by acts of racial profiling. Hence the central theses of this book not only help us better understand the nature of our own mental states, but also help us better understand the nature of our responsibilities to each other.
More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 241 mm
Width: 162 mm
Thickness: 25 mm
Weight
596 gr
ISBN-13
978-0-19-879215-4 (9780198792154)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions


Person
Sarah Moss is Associate Professor of Philosophy at the University of Michigan, Ann Arbor. She received her A.B. in Mathematics from Harvard University and her B.Phil. in Philosophy from Oxford University, where she studied as a Marshall Scholar. She received her Ph.D. in Philosophy with a minor in Linguistics from MIT in 2009.
Author
Associate Professor of PhilosophyAssociate Professor of Philosophy, University of Michigan, Ann Arbor
Content
1: The case for probabilistic contents
2: The case for probabilistic assertion
3: Epistemic modals and probability operators
4: Indicative conditionals
5: The case for probabilistic knowledge
6: Factivity
7: Skepticism
8: Knowledge and belief
9: Knowledge and action
10: Knowledge and persons
Appendix: A formal semantics for epistemic vocabulary
2: The case for probabilistic assertion
3: Epistemic modals and probability operators
4: Indicative conditionals
5: The case for probabilistic knowledge
6: Factivity
7: Skepticism
8: Knowledge and belief
9: Knowledge and action
10: Knowledge and persons
Appendix: A formal semantics for epistemic vocabulary