دورية أكاديمية
Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies
| العنوان: | Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies |
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| المؤلفون: | Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui |
| المصدر: | Entropy, Vol 26, Iss 2, p 108 (2024) |
| بيانات النشر: | MDPI AG, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Science LCC:Astrophysics LCC:Physics |
| مصطلحات موضوعية: | causality, emergence, causal emergence, causal emergence identification, effective information, machine learning, Science, Astrophysics, QB460-466, Physics, QC1-999 |
| الوصف: | Emergence and causality are two fundamental concepts for understanding complex systems. They are interconnected. On one hand, emergence refers to the phenomenon where macroscopic properties cannot be solely attributed to the cause of individual properties. On the other hand, causality can exhibit emergence, meaning that new causal laws may arise as we increase the level of abstraction. Causal emergence (CE) theory aims to bridge these two concepts and even employs measures of causality to quantify emergence. This paper provides a comprehensive review of recent advancements in quantitative theories and applications of CE. It focuses on two primary challenges: quantifying CE and identifying it from data. The latter task requires the integration of machine learning and neural network techniques, establishing a significant link between causal emergence and machine learning. We highlight two problem categories: CE with machine learning and CE for machine learning, both of which emphasize the crucial role of effective information (EI) as a measure of causal emergence. The final section of this review explores potential applications and provides insights into future perspectives. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1099-4300 |
| Relation: | https://www.mdpi.com/1099-4300/26/2/108; https://doaj.org/toc/1099-4300 |
| DOI: | 10.3390/e26020108 |
| URL الوصول: | https://doaj.org/article/25c7f016ee714c389187ae61713e9ae5 |
| رقم الأكسشن: | edsdoj.25c7f016ee714c389187ae61713e9ae5 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10994300 |
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| DOI: | 10.3390/e26020108 |