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Bayesian epistemology — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Bayesian_epistemology
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-07T16:17:24.165Z
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Bayesian epistemology — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Bayesian_epistemology (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_0b005ed855ee (Metraipolis archive dc_0b005ed855ee, sha256 06d2f5bda093dc8ba3392547df576e9a68dfddbcd03e88e0b6062a058e4f4de2)

BibTeX

@misc{dc0b005ed855ee,
  title = {Bayesian epistemology — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Bayesian_epistemology},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_0b005ed855ee; sha256 06d2f5bda093dc8ba3392547df576e9a68dfddbcd03e88e0b6062a058e4f4de2},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Bayesian_epistemology. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Bayesian epistemology is a formal approach to various topics in epistemology that has its roots in Thomas Bayes' work in the field of probability theory. It is based on the idea that beliefs can be interpreted as subjective probabilities. As such, they are subject to the laws of probability theory, which act as the norms of rationality. 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. One advantage of its formal method in contrast to traditional epistemology is that its concepts and theorems can be defined with a high degree of precision. The most characteristic Bayesian expression of these principles is found in the form of Dutch books, 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 philosophy of science, for example, can be approached through the Bayesian principle of conditionalization 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 coherence 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 social epistemology, for example, concerning the problem of testimony or the problem of group belief. Bayesianism still faces various theoretical objections that have not been fully solved.

Tema degli esploratori: matematica e informatica teorica (deposito sistematico; ricerca «probability theory»).
Fonte: Wikipedia in inglese, voce «Bayesian epistemology» — https://en.wikipedia.org/wiki/Bayesian_epistemology
Wikidata Q22083546 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q22083546
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Bayesian_epistemology?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1349967870, consultata il 2026-10-07T15:50:26.419Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: a8cfb113ebf34a43512420403e991e70decfa59041704046fc25af278623bb64