Complexity Measurements and Causation for Dynamic Complex Systems

Complexity Measurements and Causation for Dynamic Complex Systems, 1, 2025 is a comprehensive biology reference published by Springer. Description By Juan Guillermo Diaz Ochoa 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 recorded as a function of time.

Key Features

- By Juan Guillermo Diaz Ochoa
- 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…
- Such complexity measures present limitations in the derivation of absolute causality in complex systems and the recognition of relative and contextual causality, with practical…
- Finally, the author provides concepts for relative causal determinism
- As a result, new ideas are presented to explore the frontiers of systems theory, specifically in relation to biological systems and teleonomy, i.e., evolved biological…
- This book is written for graduate students in physics, biology, medicine, social sciences, economics, and engineering who are seeking new concepts of causal inference applied in…

Product Details

Publisher: Springer
Edition: 1
Published Year: 2025
Format: Publisher PDF
File Size: 9.0 MB
ISBN: 978-3031847080