Complexity Measurements and Causation for Dynamic Complex Systems
This book examines the problems of causal determinism and limited completeness in systems theory. Furthermore, the author analyzes options for complexity measurements that include systems’ autonomy and variability for causal inference—i.e., the ability to derive causal relationships from data record...
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| Coauteur: | |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Editie: | 1st ed. 2025. |
| Reeks: | Understanding Complex Systems,
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-031-84709-7 |
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Inhoudsopgave:
- Concepts of Causality and Systems theory
- A brief overview on Dynamic Complex Systems And Causal Inference
- Elastic States and Complex Dynamics in Mechanistic Models
- A cartography of complexity
- The implications of relative causal inference for the understanding of complex systems.