Three Myths in Complexity Science and How to Resolve Them
| Authors | |
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| Publication date | 01-07-2024 |
| Edition | v1 |
| Number of pages | 8 |
| Publisher | ArXiv |
| Organisations |
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| Abstract | From bird flocking to neural dynamics, complex systems generate fascinating structures and correlations. Often, seemingly simple dynamics lead to intricate emergent properties. Despite their visceral appeal, defining complex systems lacks universal agreement. In this paper, I will debunk three prevalent myths in complex systems and propose resolutions. This work contributes by offering a contemporary interpretation of complex systems, presenting essential definitions that benefit complexity scientists. |
| Document type | Preprint |
| Note | Versions v2, v3, v4 (2024) also available on ArXiv |
| Language | English |
| Published at |
https://doi.org/10.48550/arXiv.2407.01762
(Final published version)
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| Downloads |
2407.01762v1 (1)
(Final published version)
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