Academic Journal
Προβολή σε EDS

Solving the relevance problem with predictive processing

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Solving the relevance problem with predictive processing
Συγγραφείς: Darling, Tom, Corcoran, Andrew W, Hohwy, Jakob
Πηγή: Darling, T, Corcoran, A W & Hohwy, J 2026, 'Solving the relevance problem with predictive processing', Philosophical Psychology, vol. 39, no. 4, pp. 1472-1497. https://doi.org/10.1080/09515089.2025.2460502
Έτος έκδοσης: 2026
Θεματικοί όροι: active inference, cognition, frame problem, predictive processing, Relevance problem
Περιγραφή: The frame or relevance problem is a classic problem in cognitive science and philosophy. We attempt to resolve this problem by appealing to predictive processing, a growing theory of cognition. As such, it ought to explain one of the central processes of cognition, that is, how an agent context-sensitively determines relevance. Our solution begins by appealing to Bayesian prior probabilities, which intuitively reflect relevance for a predictive agent. However, prior probabilities are necessary but insufficient for solving the problem with predictive processing. We then turn to the broader predictive processing toolbox, leveraging the concepts of prediction, prediction error, and precision in order to explain relevance. This move reveals that the processes that optimize for prediction error minimization are crucial for realizing relevance. Although, they do not yet solve the entire problem, which also demands an agent select relevant actions, based on considerations about their consequences. By appealing to active inference, decision-making, and planning can be brought to bear on relevance, in addition to perceptual inference. With this final inclusion of action (as inference), we suggest predictive processing has the tools to comprehensively solve the problem of relevance.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISSN: 0951-5089
1465-394X
Relation: info:eu-repo/semantics/altIdentifier/wos/001411796900001; info:eu-repo/semantics/altIdentifier/pissn/0951-5089; info:eu-repo/semantics/altIdentifier/eissn/1465-394X
DOI: 10.1080/09515089.2025.2460502
Διαθεσιμότητα: https://research.monash.edu/en/publications/eddc0220-b53e-4596-9e70-3cd9a10c7004
https://doi.org/10.1080/09515089.2025.2460502
https://researchmgt.monash.edu/ws/files/799244288/660806480-oa.pdf
https://www.scopus.com/pages/publications/85216678903
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0/
Αριθμός Καταχώρησης: edsbas.8AC4A8F6
Βάση Δεδομένων: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.monash.edu/en/publications/eddc0220-b53e-4596-9e70-3cd9a10c7004#
    Name: EDS - BASE (ns324271)
    Category: fullText
    Text: View record from BASE
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edsbas&genre=article&issn=09515089&ISBN=&volume=&issue=&date=20260101&spage=&pages=&title=Darling, T, Corcoran, A W & Hohwy, J 2026, 'Solving the relevance problem with predictive processing', Philosophical Psychology, vol. 39, no. 4, pp. 1472-1497. https://doi.org/10.1080/09515089.2025.2460502&atitle=Solving%20the%20relevance%20problem%20with%20predictive%20processing&aulast=Darling%2C%20Tom&id=DOI:10.1080/09515089.2025.2460502
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: edsbas
DbLabel: BASE
An: edsbas.8AC4A8F6
RelevancyScore: 1011
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1010.63568115234
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Solving the relevance problem with predictive processing
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Darling%2C+Tom%22">Darling, Tom</searchLink><br /><searchLink fieldCode="AR" term="%22Corcoran%2C+Andrew+W%22">Corcoran, Andrew W</searchLink><br /><searchLink fieldCode="AR" term="%22Hohwy%2C+Jakob%22">Hohwy, Jakob</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Darling, T, Corcoran, A W & Hohwy, J 2026, 'Solving the relevance problem with predictive processing', Philosophical Psychology, vol. 39, no. 4, pp. 1472-1497. https://doi.org/10.1080/09515089.2025.2460502
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2026
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22active+inference%22">active inference</searchLink><br /><searchLink fieldCode="DE" term="%22cognition%22">cognition</searchLink><br /><searchLink fieldCode="DE" term="%22frame+problem%22">frame problem</searchLink><br /><searchLink fieldCode="DE" term="%22predictive+processing%22">predictive processing</searchLink><br /><searchLink fieldCode="DE" term="%22Relevance+problem%22">Relevance problem</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The frame or relevance problem is a classic problem in cognitive science and philosophy. We attempt to resolve this problem by appealing to predictive processing, a growing theory of cognition. As such, it ought to explain one of the central processes of cognition, that is, how an agent context-sensitively determines relevance. Our solution begins by appealing to Bayesian prior probabilities, which intuitively reflect relevance for a predictive agent. However, prior probabilities are necessary but insufficient for solving the problem with predictive processing. We then turn to the broader predictive processing toolbox, leveraging the concepts of prediction, prediction error, and precision in order to explain relevance. This move reveals that the processes that optimize for prediction error minimization are crucial for realizing relevance. Although, they do not yet solve the entire problem, which also demands an agent select relevant actions, based on considerations about their consequences. By appealing to active inference, decision-making, and planning can be brought to bear on relevance, in addition to perceptual inference. With this final inclusion of action (as inference), we suggest predictive processing has the tools to comprehensively solve the problem of relevance.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: application/pdf
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0951-5089<br />1465-394X
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: info:eu-repo/semantics/altIdentifier/wos/001411796900001; info:eu-repo/semantics/altIdentifier/pissn/0951-5089; info:eu-repo/semantics/altIdentifier/eissn/1465-394X
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1080/09515089.2025.2460502
– Name: URL
  Label: Availability
  Group: URL
  Data: https://research.monash.edu/en/publications/eddc0220-b53e-4596-9e70-3cd9a10c7004<br />https://doi.org/10.1080/09515089.2025.2460502<br />https://researchmgt.monash.edu/ws/files/799244288/660806480-oa.pdf<br />https://www.scopus.com/pages/publications/85216678903
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0/
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.8AC4A8F6
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.8AC4A8F6
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/09515089.2025.2460502
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: active inference
        Type: general
      – SubjectFull: cognition
        Type: general
      – SubjectFull: frame problem
        Type: general
      – SubjectFull: predictive processing
        Type: general
      – SubjectFull: Relevance problem
        Type: general
    Titles:
      – TitleFull: Solving the relevance problem with predictive processing
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Darling, Tom
      – PersonEntity:
          Name:
            NameFull: Corcoran, Andrew W
      – PersonEntity:
          Name:
            NameFull: Hohwy, Jakob
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09515089
            – Type: issn-print
              Value: 1465394X
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
          Titles:
            – TitleFull: Darling, T, Corcoran, A W & Hohwy, J 2026, 'Solving the relevance problem with predictive processing', Philosophical Psychology, vol. 39, no. 4, pp. 1472-1497. https://doi.org/10.1080/09515089.2025.2460502
              Type: main
ResultId 1