Dynamical-System Model Predicts When Social Learners Impair Collective\n Performance Article Swipe
Vicky Chuqiao Yang
,
Mirta Galešić
,
Harvey McGuinness
,
Ani Harutyunyan
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2104.00770
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2104.00770
A key question concerning collective decisions is whether a social system can\nsettle on the best available option when some members learn from others instead\nof evaluating the options on their own. This question is challenging to study,\nand previous research has reached mixed conclusions, because collective\ndecision outcomes depend on the insufficiently understood complex system of\ncognitive strategies, task properties, and social influence processes. This\nstudy integrates these complex interactions together in one general yet\npartially analytically tractable mathematical framework using a dynamical\nsystem model. In particular, it investigates how the interplay of the\nproportion of social learners, the relative merit of options, and the type of\nconformity response affect collective decision outcomes in a binary choice. The\nmodel predicts that when the proportion of social learners exceeds a critical\nthreshold, a bi-stable state appears in which the majority can end up favoring\neither the higher- or lower-merit option, depending on fluctuations and initial\nconditions. Below this threshold, the high-merit option is chosen by the\nmajority. The critical threshold is determined by the conformity response\nfunction and the relative merits of the two options. The study helps reconcile\ndisagreements about the effect of social learners on collective performance and\nproposes a mathematical framework that can be readily adapted to extensions\ninvestigating a wider variety of dynamics.\n
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2104.00770
- https://arxiv.org/pdf/2104.00770
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4287246015Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2104.00770Digital Object Identifier
- Title
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Dynamical-System Model Predicts When Social Learners Impair Collective\n PerformanceWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-04-01Full publication date if available
- Authors
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Vicky Chuqiao Yang, Mirta Galešić, Harvey McGuinness, Ani HarutyunyanList of authors in order
- Landing page
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https://arxiv.org/abs/2104.00770Publisher landing page
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https://arxiv.org/pdf/2104.00770Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2104.00770Direct OA link when available
- Concepts
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Conformity, Variety (cybernetics), Function (biology), Social system, Cognitive psychology, Psychology, Social influence, Task (project management), Social psychology, Computer science, Microeconomics, Economics, Artificial intelligence, Management, Biology, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of\ncognitive | 52 |
| abstract_inverted_index.insufficiently | 48 |
| abstract_inverted_index.of\nconformity | 98 |
| abstract_inverted_index.the\nmajority. | 151 |
| abstract_inverted_index.yet\npartially | 69 |
| abstract_inverted_index.the\nproportion | 86 |
| abstract_inverted_index.favoring\neither | 131 |
| abstract_inverted_index.dynamical\nsystem | 76 |
| abstract_inverted_index.response\nfunction | 160 |
| abstract_inverted_index.collective\ndecision | 43 |
| abstract_inverted_index.critical\nthreshold, | 119 |
| abstract_inverted_index.initial\nconditions. | 141 |
| abstract_inverted_index.reconcile\ndisagreements | 172 |
| abstract_inverted_index.extensions\ninvestigating | 192 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.23796988 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |