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785:, which illustrate irrationality in agents through a series of bets that lead to a loss for the agent no matter which of the probabilistic events occurs. Bayesians have applied these fundamental principles to various epistemological topics but Bayesianism does not cover all topics of traditional epistemology. The problem of confirmation in the
781:. These norms can be divided into static constraints, governing the rationality of beliefs at any moment, and dynamic constraints, governing how rational agents should change their beliefs upon receiving new evidence. The most characteristic Bayesian expression of these principles is found in the form of
721:. The focus of formal epistemology has tended to differ somewhat from that of traditional epistemology, with topics like uncertainty, induction, and belief revision garnering more attention than the analysis of knowledge, skepticism, and issues with justification.
797:
in terms of probability, usually in the sense that two propositions cohere if the probability of their conjunction is higher than if they were neutrally related to each other. The
Bayesian approach has also been fruitful in the field of
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and probability theory (if not earlier), only recently have they been organized under a common disciplinary title. This gain in popularity may be attributed to the organization of yearly Formal
Epistemology Workshops by
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by holding that a piece of evidence confirms a theory if it raises the likelihood that this theory is true. Various proposals have been made to define the concept of
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966:, Carnegie Mellon, Philosophy (Bayesian epistemology, epistemic logic, belief revision, conditionals, rational choice, normative and behavioral decision theory)
769:' work in the field of probability theory. It is based on the idea that beliefs are held gradually and that the strengths of the beliefs can be described as
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750:. Carnegie Mellon University's Philosophy Department hosts an annual summer school in logic and formal epistemology. In 2010, the department founded the
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Arlo-Costa, H, van
Benthem, J. and Hendricks, V. F. (eds.) (2012). A Formal Epistemology Reader. Cambridge: Cambridge University Press.
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Wolpert, D.H., (1996) The existence of a priori distinctions between learning algorithms, Neural
Computation, pp. 1391–1420.
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Copenhagen and
Columbia, Philosophy (epistemic logic, formal learning theory, information processing and analysis of democracy)
1479:
Hendricks, V. F. (ed.) (2006). Special issue on “8 Bridges
Between Mainstream and Formal Epistemology”, Philosophical Studies.
1473:
Hendricks, V. F. (2001). The
Convergence of Scientific Knowledge: A View from The Limit. Dordrect: Kluwer Academic Publishers.
1299:, i.e., Hume done rigorously; physics and inference, i.e., monotheism theorems, Chomsky hierarchy of inference devices, etc.)
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Wolpert, D.H., (1996) The lack of a priori distinctions between learning algorithms, Neural
Computation, pp. 1341–1390.
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35:
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or the problem of group belief. Bayesianism still faces various theoretical objections that have not been fully solved.
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Hendricks, V.F. and Symons, J. (2006). Epistemic Logic. The
Stanford Encyclopedia of Philosophy, Stanford. CA: USA.
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291:
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Hendricks, V. F. and Symons, J. (eds.) (2006). Masses of Formal
Philosophy. New York: Automatic Press / VIP.
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410:
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Hendricks, V. F. and Hansen, P.G. (eds.) (2007). Game Theory: 5 Questions. New York: Automatic Press / VIP.
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746:-conferences starting in 2002 (The Network for Philosophical Logic and Its Applications) organized by
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Wolpert, D.H., (2001) Computational capabilities of physical systems. Physical Review E, 65(016128).
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Hendricks, V. F. (2006). Mainstream and Formal Epistemology. New York: Cambridge University Press.
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Hendricks, V.F. and Pritchard, D. (eds.) (2006). New Waves in Epistemology. Aldershot: Ashgate.
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Brown, B. (2017). Thoughts and Ways of Thinking: Source Theory and Its Applications. London:
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Bovens, L. and Hartmann, S. (2003). Bayesian Epistemology. Oxford: Oxford University Press.
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Carnegie Mellon, Philosophy (statistical decision theory, probability theory, game theory)
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Zhu, H.Y. and R. Rohwer, (1996) No free lunch for cross-validation, pp. 1421– 1426.
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Hendricks, V. F. (ed.) (2006). Special issue on “Ways of Worlds I-II”, Studia Logica.
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Though formally oriented epistemologists have been laboring since the emergence of
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is an important theory in the field of formal epistemology. It has its roots in
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Some of the topics that come under the heading of formal epistemology include:
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Hendricks, V. F. and Symons, J. (eds.) (2005). Formal Philosophy. New York:
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Peter Vranas (confirmation, deontic logic, time travel, ethics, etc.)
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Columbia, Philosophy (foundations of probability, mathematical logic)
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interest. Work in this area spans several academic fields, including
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Paul Thorn (direct inference, defeasible reasoning, induction, etc.)
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Columbia, Philosophy (belief revision, decision theory, probability)
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1171:(confirmation, coherence, transmission of warrant, epistemic truth)
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external links, and converting useful links where appropriate into
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external links, and converting useful links where appropriate into
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Hartmann, Stephan; Sprenger, Jan (2010). "Bayesian Epistemology".
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1250:(reasoning, probability, causation, philosophy of science, etc.)
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431:
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Carnegie Mellon Summer School in Logic and Formal Epistemology
1080:(epistemology, statistical learning theory, mind and language)
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Columbia, Philosophy (belief revision, causal decision theory)
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Formal Epistemology Meets Experimental Philosophy Workshop
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Columbia, Philosophy (decision theory, rational choice)
1074:(risk, decision theory, belief revision, deontic logic)
1209:(belief revision, nonmonotonic logic, rational choice)
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789:, for example, can be approached through the Bayesian
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David Miller (probability, induction, logic, Popper)
1062:(foundations of probability, decision theory, etc.)
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Anthony Gillies (belief revision, formal semantics)
1381:Olsson, Erik J. (2018). "Bayesian Epistemology".
1150:(belief revision, probability, Bayesianism, etc.)
907:may not follow Knowledge's policies or guidelines
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151:but its sources remain unclear because it lacks
1362:. Metaphysics Research Lab, Stanford University
1277:(Dynamic-epistemic Logic, belief revision etc.)
1615:Carnegie Mellon Center for Formal Epistemology
990:(Bayesian epistemology, belief revision, etc.)
1289:(knowledge, modality, logic, vagueness, etc.)
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1259:(imprecise credence, probability kinematics)
1141:(formal epistemology, philosophy of science)
1068:(reasoning about knowledge and uncertainty)
884:List of contemporary formal epistemologists
773:. As such, they are subject to the laws of
50:Learn how and when to remove these messages
978:(Bayesian epistemology, probability, etc.)
879:Foundations of probability and statistics.
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943:Learn how and when to remove this message
802:, for example, concerning the problem of
251:Learn how and when to remove this message
182:Learn how and when to remove this message
112:Learn how and when to remove this message
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1024:Ellery Eells (confirmation, probability)
861:Formal models of epistemic states, like
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1401:The Routledge Companion to Epistemology
1360:The Stanford Encyclopedia of Philosophy
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1177:(inductive logic, reasoning, vagueness)
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1404:. London: Routledge. pp. 609–620.
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1283:(Bayesianism, probability, causation)
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701:to model and reason about issues of
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1384:Introduction to Formal Philosophy
1144:Marion Ledwig (Newcomb's problem)
31:This article has multiple issues.
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1415:Hájek, Alan; Lin, Hanti (2017).
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1417:"A Tale of Two Epistemologies?"
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416:Analytic–synthetic distinction
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1387:. Springer. pp. 431–442.
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1325:Computational learning theory
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1354:Talbott, William (2016).
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532:Historical epistemology
222:converting this article
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1532:"Formal Epistemology"
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854:Formal approaches to
787:philosophy of science
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642:Philosophy of science
1530:Weisberg, Jonathan.
1320:Computability theory
1268:(probability, logic)
1102:Vincent F. Hendricks
1055:Mario GĂłmez-Torrente
913:improve this article
819:Ampliative inference
748:Vincent F. Hendricks
699:computability theory
517:Applied epistemology
82:improve this article
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1620:Formal Epistemology
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1558:Formal epistemology
1549:Formal epistemology
925:footnote references
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800:social epistemology
683:Formal epistemology
627:Epistemic cognition
547:Virtue epistemology
542:Social epistemology
527:Formal epistemology
266:Part of a series on
94:footnote references
1608:2008-12-02 at the
1287:Timothy Williamson
1240:2008-05-13 at the
1229:Miriam Schoenfield
1131:2008-05-12 at the
999:2013-04-23 at the
962:2007-10-13 at the
957:Horacio ArlĂł-Costa
775:probability theory
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1587:Formal Philosophy
1213:Darrell Rowbottom
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1169:Luca Moretti
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1046:Haim Gaifman
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1330:Game theory
1275:Sonja Smets
1120:James Joyce
1108:Franz Huber
1019:Igor Douven
874:coherentism
867:uncertainty
835:Game theory
821:(including
783:Dutch books
779:rationality
482:Rationality
457:Information
371:Rationalism
331:Fallibilism
311:Coherentism
164:introducing
1634:Categories
1562:PhilPapers
1341:References
1219:Nick Rugai
1154:Isaac Levi
1060:Alan Hájek
976:Luc Bovens
719:statistics
707:philosophy
592:David Hume
452:Experience
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1028:Adam Elga
917:excessive
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715:economics
567:Aristotle
472:Knowledge
467:Induction
442:Certainty
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321:Dogmatism
86:excessive
42:talk page
1606:Archived
1304:See also
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960:Archived
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437:Credence
422:A priori
404:Concepts
287:Category
1551:at the
1538:(ed.).
1366:6 March
911:Please
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725:History
607:more...
510:Domains
477:Meaning
336:Fideism
304:Schools
282:Outline
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717:, and
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411:Action
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292:Index
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