Readings in Formal Epistemology - Sourcebook (Paperback, Softcover reprint of the original 1st ed. 2016)

This volume presents 38 classic texts in formal epistemology, and strengthens the ties between research into this area of philosophy and its neighbouring intellectual disciplines. The editors provide introductions to five subsections: Bayesian Epistemology, Belief Change, Decision Theory, Interactive Epistemology and Epistemic Logic. 'Formal epistemology' is a term coined in the late 1990s for a new constellation of interests in philosophy, the origins of which are found in earlier works of epistemologists, philosophers of science and logicians. It addresses a growing agenda of problems concerning knowledge, belief, certainty, rationality, deliberation, decision, strategy, action and agent interaction - and it does so using methods from logic, probability, computability, decision and game theory. The volume also includes a thorough index and suggestions for further reading, and thus offers a complete teaching and research package for students as well as research scholars of formal epistemology, philosophy, logic, computer science, theoretical economics and cognitive psychology.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Graduate Texts in Philosophy, 1
Release date:	May 2018
First published:	2016
Editors:	Horacio Arlo-Costa • Vincent F Hendricks • Johan Van Benthem
Contributors:	Henrik Boensvang • Rasmus K. Rendsvig
Dimensions:	235 x 155 x 48mm (L x W x T)
Format:	Paperback
Pages:	937
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-79303-0
Categories:	Books > Computing & IT > Computer programming > General Books > Humanities > Philosophy > Topics in philosophy > Epistemology, theory of knowledge Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Philosophy > Topics in philosophy > Epistemology, theory of knowledge
LSN:	3-319-79303-9
Barcode:	9783319793030

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