Umeå universitets logga

umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
From threatening pasts to hopeful futures: a review of agent-based models of anxiety
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0002-4147-4558
2023 (Engelska)Ingår i: Advances in social simulation: Proceedings of the 17th Social Simulation Conference, European Social Simulation Association, Springer Nature, 2023, s. 139-152Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Despite being understated, anxiety is a critical factor affecting all levels of society, directly impacting individual decisions and with well-identified ramifications on social play, social constructs, and collective outcomes, as well as being a significant direct social toll tied to yearly trillion-USD social cost. Through a systematic literature review of social simulation research featuring models of anxiety, this paper frames the state of the art on anxiety modelling, and identifies trends and patterns in bibliographic indicators, aspects of anxiety that are modelled, how they are modelled, and their purpose and integration within agent based models. Based on these findings, this paper proposes a way forward as to structure the field as to enable the social simulation community as a whole to cover this critical aspect.

Ort, förlag, år, upplaga, sidor
Springer Nature, 2023. s. 139-152
Serie
Springer Proceedings in Complexity, ISSN 2213-8684, E-ISSN 2213-8692
Nyckelord [en]
Anxiety, Psychology models, Social simulation models, Systematic literature review
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:umu:diva-215961DOI: 10.1007/978-3-031-34920-1_12Scopus ID: 2-s2.0-85174532665ISBN: 978-3-031-34919-5 (tryckt)ISBN: 978-3-031-34922-5 (tryckt)ISBN: 978-3-031-34920-1 (digital)OAI: oai:DiVA.org:umu-215961DiVA, id: diva2:1808117
Konferens
17th annual conference of European Social Simulation Association, ESSA 2022, Milan, Italy, September 12-16, 2022
Tillgänglig från: 2023-10-30 Skapad: 2023-10-30 Senast uppdaterad: 2023-10-30Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Horned, ArvidVanhée, Loïs

Sök vidare i DiVA

Av författaren/redaktören
Horned, ArvidVanhée, Loïs
Av organisationen
Institutionen för datavetenskap
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 190 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf