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The diversity-ability trade-off in scientific problem solving

Reijula, Samuli and Kuorikoski, Jaakko (2021) The diversity-ability trade-off in scientific problem solving. In: UNSPECIFIED.

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Abstract

According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page (2004; see also Grim et al. 2019) is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model which captures the role of ‘ability’ in a meaningful way, and use it to explore the trade-offs between diversity and ability in scientific problem solving.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Reijula, Samulisamuli.reijula@helsinki.fi0000-0001-6968-5819
Kuorikoski, Jaakkojaakko.kuorikoski@helsinki.fi0000-0001-5676-717X
Keywords: social epistemology of science; group problem solving; cognitive diversity; agent-based model; distributed cognition
Subjects: General Issues > Computer Simulation
General Issues > Social Epistemology of Science
Depositing User: Dr Samuli Reijula
Date Deposited: 27 Jan 2021 15:17
Last Modified: 27 Jan 2021 15:17
Item ID: 18645
Subjects: General Issues > Computer Simulation
General Issues > Social Epistemology of Science
Date: 2021
URI: https://philsci-archive.pitt.edu/id/eprint/18645

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