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Locally Noisy Autonomous Agents Improve Global Human Coordination in Network Experiments
Coordination in groups faces a sub-optimization problem(1–6) and theory suggests that some randomness may help achieve global optima(7–9). We performed experiments involving a networked color coordination game(10) in which groups of humans interacted with autonomous software agents (“bots”). Subject...
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| Опубликовано в: : | Nature |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5912653/ https://ncbi.nlm.nih.gov/pubmed/28516927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nature22332 |
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