Decision Theory

dc.contributor.authorSteele, Katie
dc.contributor.authorStefánsson, H. Orri
dc.contributor.editorZalta, Edward N.
dc.date.accessioned2023-03-14T00:21:03Z
dc.date.issued2020
dc.date.updated2021-12-26T07:19:34Z
dc.description.abstractThe focus of this entry is normative decision theory. That is, the main question of interest is what criteria an agent’s preference attitudes should satisfy in any generic circumstances. This amounts to a minimal account of rationality, one that sets aside more substantial questions about appropriate desires and reasonable beliefs, given the situation at hand. The key issue for a minimal account is the treatment of uncertainty. The orthodox normative decision theory, expected utility (EU) theory, essentially says that, in situations of uncertainty, one should prefer the option with greatest expected desirability or value. (Note that in this context, “desirability” and “value” should be understood as desirability/value according to the agent in question.) This simple maxim will be the focus of much of our discussion.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1096-5054en_AU
dc.identifier.urihttp://hdl.handle.net/1885/287017
dc.language.isoen_AUen_AU
dc.publisherStanford Universityen_AU
dc.relation.ispartofStanford Encyclopedia of Philosophyen_AU
dc.rights© 2020 The Author(s)en_AU
dc.source.urihttps://plato.stanford.edu/archives/win2020/entries/decision-theory/en_AU
dc.titleDecision Theoryen_AU
dc.typeBook chapteren_AU
dcterms.accessRightsFree Access via publisher websiteen_AU
local.bibliographicCitation.lastpage16en_AU
local.bibliographicCitation.placeofpublicationStanford
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationSteele, Katie, College of Arts and Social Sciences, ANUen_AU
local.contributor.affiliationStefánsson, H. Orri, Institute for Futures Studiesen_AU
local.contributor.authoruidSteele, Katie, u1030156en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor500303 - Decision theoryen_AU
local.identifier.ariespublicationu5797903xPUB12en_AU
local.publisher.urlhttps://plato.stanford.edu/archives/win2020/entries/decision-theory/en_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Decision Theory.pdf
Size:
397.36 KB
Format:
Adobe Portable Document Format
Description: