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  Simple, Idiosyncratic Decision Heuristics in a Two-Armed Bandit Task

Thalmann, M., & Schulz, E. (2023). Simple, Idiosyncratic Decision Heuristics in a Two-Armed Bandit Task. In 2023 Conference on Cognitive Computational Neuroscience (pp. 1156-1159). doi:10.32470/CCN.2023.1240-0.

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Genre: Konferenzbeitrag

Externe Referenzen

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externe Referenz:
https://2023.ccneuro.org/view_paper.php?PaperNum=1240 (Zusammenfassung)
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Keine Angabe

Urheber

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 Urheber:
Thalmann, M1, Autor           
Schulz, E1, Autor           
Affiliations:
1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              

Inhalt

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Schlagwörter: -
 Zusammenfassung: Can variability across people in decision making be characterized by referring to idiosyncrasies in decision heuristics? A great deal of previous research tested relatively complicated models making several assumptions about cognitive mechanisms and their interaction. In contrast, we examine the idea that participants use comparatively simple heuristics to choose between options in a two-armed bandit task. Idiosyncratic decision heuristics explained the data almost as well as a benchmark model quipped with three previously suggested exploration strategies. We included information about the response history in a given trial into the set of variables available for a heuristic. Almost two thirds of the participants relied on these sequential variables. Closer inspection of their decision heuristics allows us to re-interpret exploration strategies as relatively short deterministic sequential response patterns.

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Sprache(n):
 Datum: 2023-08
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.32470/CCN.2023.1240-0
 Art des Abschluß: -

Veranstaltung

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Titel: Conference on Cognitive Computational Neuroscience (CCN 2023)
Veranstaltungsort: Oxford, UK
Start-/Enddatum: 2023-08-24 - 2023-08-27

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Quelle 1

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Titel: 2023 Conference on Cognitive Computational Neuroscience
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: P-3.80 Start- / Endseite: 1156 - 1159 Identifikator: -