04037nam 22007695 450 991098769010332120251106120247.09783031847097303184709110.1007/978-3-031-84709-7(CKB)37876816200041(DE-He213)978-3-031-84709-7(MiAaPQ)EBC31958877(Au-PeEL)EBL31958877(EXLCZ)993787681620004120250313d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComplexity Measurements and Causation for Dynamic Complex Systems /by Juan Guillermo Diaz Ochoa1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XIV, 159 p. 46 illus., 43 illus. in color.)Understanding Complex Systems,1860-08409783031847080 3031847083 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.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. Such complexity measures present limitations in the derivation of absolute causality in complex systems and the recognition of relative and contextual causality, with practical consequences for causal inference and modeling. 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 purposiveness. 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 systems theory. It is also intended for scientists with an interest in philosophy and philosophers interested in the foundations of systems theory. Additionally, data scientists seeking new methods for the analysis of time series to extract features useful for machine learning will find this book of interest.Understanding Complex Systems,1860-0840System theoryDynamicsNonlinear theoriesArtificial intelligenceData processingComplex SystemsApplied Dynamical SystemsData ScienceTeoria de sistemesthubDinàmicathubTeories no linealsthubIntel·ligència artificialthubProcessament de dadesthubSistemes complexosthubLlibres electrònicsthubSystem theory.Dynamics.Nonlinear theories.Artificial intelligenceData processing.Complex Systems.Applied Dynamical Systems.Data Science.Teoria de sistemesDinàmicaTeories no linealsIntel·ligència artificialProcessament de dadesSistemes complexos530.1Diaz Ochoa Juan Guillermoauthttp://id.loc.gov/vocabulary/relators/aut1803293MiAaPQMiAaPQMiAaPQBOOK9910987690103321Complexity Measurements and Causation for Dynamic Complex Systems4350082UNINA