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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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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-4DA2-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-AE5D-8
Genre: Conference Paper

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https://2023.ccneuro.org/view_paper.php?PaperNum=1240 (Abstract)
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 Creators:
Thalmann, M1, Author           
Schulz, E1, Author           
Affiliations:
1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              

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 Abstract: 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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 Dates: 2023-08
 Publication Status: Published online
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 Rev. Type: -
 Identifiers: DOI: 10.32470/CCN.2023.1240-0
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Title: Conference on Cognitive Computational Neuroscience (CCN 2023)
Place of Event: Oxford, UK
Start-/End Date: 2023-08-24 - 2023-08-27

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Title: 2023 Conference on Cognitive Computational Neuroscience
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: P-3.80 Start / End Page: 1156 - 1159 Identifier: -