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Nature of collective decision-making by simple yes/no decision units Eisuke Hasegawa
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Title: | Nature of collective decision-making by simple yes/no decision units Eisuke Hasegawa |
Authors: | Hasegawa, Eisuke Browse this author →KAKEN DB | Mizumoto, Nobuaki Browse this author | Kobayashi, Kazuya Browse this author | Dobata, Shigeto Browse this author | Yoshimura, Jin Browse this author | Watanabe, Saori Browse this author | Murakami, Yuuka Browse this author | Matsuura, Kenji Browse this author |
Keywords: | Cognitive neuroscience | Evolutionary theory |
Issue Date: | 31-Oct-2017 |
Publisher: | Nature Publishing Group |
Journal Title: | Scientific reports |
Volume: | 7 |
Start Page: | 14436 |
Publisher DOI: | 10.1038/s41598-017-14626-z |
Abstract: | The study of collective decision-making spans various fields such as brain and behavioural sciences, economics, management sciences, and artificial intelligence. Despite these interdisciplinary applications, little is known regarding how a group of simple 'yes/no' units, such as neurons in the brain, can select the best option among multiple options. One prerequisite for achieving such correct choices by the brain is correct evaluation of relative option quality, which enables a collective decision maker to efficiently choose the best option. Here, we applied a sensory discrimination mechanism using yes/no units with differential thresholds to a model for making a collective choice among multiple options. The performance corresponding to the correct choice was shown to be affected by various parameters. High performance can be achieved by tuning the threshold distribution with the options' quality distribution. The number of yes/no units allocated to each option and its variability profoundly affects performance. When this variability is large, a quorum decision becomes superior to a majority decision under some conditions. The general features of this collective decision-making by a group of simple yes/no units revealed in this study suggest that this mechanism may be useful in applications across various fields. |
Rights: | http://creativecommons.org/licenses/by/4.0/ |
Type: | article |
URI: | http://hdl.handle.net/2115/67841 |
Appears in Collections: | 農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 長谷川 英祐
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