Examining learning coherence in group decision-making: triads vs. tetrads
Abstract This study examined whether three heads are better than four in terms of performance and learning properties in group decision-making. It was predicted that learning incoherence took place in tetrads because the majority rule could not be applied when two subgroups emerged. As a result, tet...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-00089-w |
| _version_ | 1818724738466316288 |
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| author | Tsutomu Harada |
| author_facet | Tsutomu Harada |
| author_sort | Tsutomu Harada |
| collection | DOAJ |
| description | Abstract This study examined whether three heads are better than four in terms of performance and learning properties in group decision-making. It was predicted that learning incoherence took place in tetrads because the majority rule could not be applied when two subgroups emerged. As a result, tetrads underperformed triads. To examine this hypothesis, we adopted a reinforcement learning framework using simple Q-learning and estimated learning parameters. Overall, the results were consistent with the hypothesis. Further, this study is one of a few attempts to apply a computational approach to learning behavior in small groups. This approach enables the identification of underlying learning parameters in group decision-making. |
| first_indexed | 2024-12-17T21:31:11Z |
| format | Article |
| id | doaj.art-14a93e907fe6441ba790e308537a0eec |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-17T21:31:11Z |
| publishDate | 2021-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-14a93e907fe6441ba790e308537a0eec2022-12-21T21:31:52ZengNature PortfolioScientific Reports2045-23222021-10-011111910.1038/s41598-021-00089-wExamining learning coherence in group decision-making: triads vs. tetradsTsutomu Harada0Graduate School of Business Administration, Kobe UniversityAbstract This study examined whether three heads are better than four in terms of performance and learning properties in group decision-making. It was predicted that learning incoherence took place in tetrads because the majority rule could not be applied when two subgroups emerged. As a result, tetrads underperformed triads. To examine this hypothesis, we adopted a reinforcement learning framework using simple Q-learning and estimated learning parameters. Overall, the results were consistent with the hypothesis. Further, this study is one of a few attempts to apply a computational approach to learning behavior in small groups. This approach enables the identification of underlying learning parameters in group decision-making.https://doi.org/10.1038/s41598-021-00089-w |
| spellingShingle | Tsutomu Harada Examining learning coherence in group decision-making: triads vs. tetrads Scientific Reports |
| title | Examining learning coherence in group decision-making: triads vs. tetrads |
| title_full | Examining learning coherence in group decision-making: triads vs. tetrads |
| title_fullStr | Examining learning coherence in group decision-making: triads vs. tetrads |
| title_full_unstemmed | Examining learning coherence in group decision-making: triads vs. tetrads |
| title_short | Examining learning coherence in group decision-making: triads vs. tetrads |
| title_sort | examining learning coherence in group decision making triads vs tetrads |
| url | https://doi.org/10.1038/s41598-021-00089-w |
| work_keys_str_mv | AT tsutomuharada examininglearningcoherenceingroupdecisionmakingtriadsvstetrads |