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Bayesian programming — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Bayesian_programming
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-05T23:06:01.815Z
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Stable URL of this page: https://metraipolis.com/documento/dc_e2dfe1cc17de

How to cite

Bayesian programming — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Bayesian_programming (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_e2dfe1cc17de (Metraipolis archive dc_e2dfe1cc17de, sha256 9fc3600a0fe1931c9b7c505b5db2e933fd5f1eb25ebc5f9e01948b9168976fa0)

BibTeX

@misc{dce2dfe1cc17de,
  title = {Bayesian programming — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Bayesian_programming},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_e2dfe1cc17de; sha256 9fc3600a0fe1931c9b7c505b5db2e933fd5f1eb25ebc5f9e01948b9168976fa0},
  year = {2026}
}

Archived text

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

Bayesian programming is a formalism and a methodology for having a technique to specify probabilistic models and solve problems when less than the necessary information is available. Edwin T. Jaynes proposed that probability could be considered as an alternative and an extension of logic for rational reasoning with incomplete and uncertain information. In his founding book Probability Theory: The Logic of Science he developed this theory and proposed what he called "the robot," which was not a physical device, but an inference engine to automate probabilistic reasoning—a kind of Prolog for probability instead of logic. Bayesian programming is a formal and concrete implementation of this "robot". Bayesian programming may also be seen as an algebraic formalism to specify graphical models such as, for instance, Bayesian networks, dynamic Bayesian networks, Kalman filters or hidden Markov models. Indeed, Bayesian programming is more general than Bayesian networks and has a power of expression equivalent to probabilistic factor graphs.

Tema degli esploratori: agenti e intelligenza artificiale (deposito sistematico; categoria «Artificial intelligence»).
Fonte: Wikipedia in inglese, voce «Bayesian programming» — https://en.wikipedia.org/wiki/Bayesian_programming
Wikidata Q16243608 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q16243608
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Bayesian_programming?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 1374677658, consultata il 2026-10-05T23:01:03.400Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: d68b6cc4774118b3784f262b4b7b809072a5e81123bf97429bee716dbe30b3b8