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072 7 _aSCI064000
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245 1 0 _aMultiplicity of Time Scales in Complex Systems
_h[electronic resource] :
_bChallenges for Sciences and Communication II /
_cedited by Bernhelm Booß-Bavnbek, Jens Hesselbjerg Christensen, Katherine Richardson, Oriol Vallès Codina.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXV, 500 p. 70 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematics Online First Collections,
_x2730-6348
505 0 _aForeword -- Preface -- Index Gratiarum -- Table of Contents I.-Part IV. Anthroposphere (human focus): History, Anthropology, Archaeology, Music Theory and Literature Analysis, Economics, Regional and Global Inequality -- Multiple time scales in history: Clashing concerns? (M. Van De Mieroop) -- Military-industrial interactions in and between Germany and the United States: Combining spatial and time scales (R. Czeskleba-Dupont) -- Urgency across cultural timescapes informs climate change vulnerability (S. Veland, A.H. Lynch) -- Some comments on multi-scalar time in archaeology (R. Campbell, Y. Jaffe) -- Complexity and time scales in music theory and literary analysis (P.A. Brask) -- Timescales methods in economics: Wavelet analysis of business cycle fluctuations (M. Gallegati) -- Macro-Financial Dynamics: Theories, Empirical Methods, and Time Scales (C. Proaño, L. Quero Virla) -- Portfolio decisions, climate-related assets and commodity prices: An application of time scales and dynamicportfolio model (J. Braga, J.P. Bastos) -- A multi time-scale theory of economic growth and cycles (J. Jacobo) -- Endogenous economic resilience, loss of resilience, persistent cycles, multiple attractors (W. Semmler et al.) -- Part V. Multiple Time Scales: Dynamics, Emergence, and Physical Generation -- A review of multiple time scale dynamics: Fundamental phenomena and mathematical methods (K.U. Kristiansen) -- Emergence of multiple time scales in the modelling of climate, matter, life, and economy (B. Booß-Bavnbek et al.) -- Coexisting dynamical phenomena with different time scales in autonomous systems: How their generation and combination may occur? (G. Orriols et al.).
520 _aThis highly interdisciplinary volume brings together a carefully curated set of case studies examining complex systems with multiple time scales (MTS) across a variety of fields: materials science, epidemiology, cell physiology, mathematics, climatology, energy transition planning, ecology, economics, sociology, history, and cultural studies. The book addresses the vast diversity of interacting processes underlying the behaviour of different complex systems, highlighting the multiplicity of characteristic time scales that are a common feature of many and showcases a rich variety of methodologies across disciplinary boundaries. Self-organizing, out-of-equilibrium, ever-evolving systems are ubiquitous in the natural and social world. Examples include the climate, ecosystems, living cells, epidemics, the human brain, and many socio-economic systems across history. Their dynamical behaviour poses great challenges in the pressing context of the climate crisis, since they may involve nonlinearities, feedback loops, and the emergence of spatial-temporal patterns, portrayed by resilience or instability, plasticity or rigidity; bifurcations, thresholds and tipping points; burst-in excitation or slow relaxation, and worlds of other asymptotic behaviour, hysteresis, and resistance to change. Chapters can be read individually by the reader with special interest in such behaviours of particular complex systems or in specific disciplinary perspectives. Read together, however, the case studies, opinion pieces, and meta-studies on MTS systems presented and analysed here combine to give the reader insights that are more than the sum of the book’s individual chapters, as surprising similarities become apparent in seemingly disparate and unconnected systems. MTS systems call into question naïve perceptions of time and complexity, moving beyond conventional ways of description, analysis, understanding, modelling, numerical prediction, and prescription of the world around us. This edited collection presents new ways of forecasting, introduces new means of control, and – perhaps as the most demanding task – it singles out a sustainable description of an MTS system under observation, offering a more nuanced interpretation of the floods of quantitative data and images made available by high- and low-frequency measurement tools in our unprecedented era of information flows.
650 0 _aSystem theory.
_966519
650 0 _aBiomathematics.
_970325
650 0 _aClimatology.
_962309
650 0 _aDynamical systems.
650 1 4 _aComplex Systems.
_966520
650 2 4 _aMathematical and Computational Biology.
_970327
650 2 4 _aClimate Sciences.
_967755
650 2 4 _aDynamical Systems.
700 1 _aBooß-Bavnbek, Bernhelm.
_eeditor.
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_1https://orcid.org/0000-0002-8865-7298
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700 1 _aHesselbjerg Christensen, Jens.
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700 1 _aRichardson, Katherine.
_eeditor.
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_1https://orcid.org/0000-0003-3785-2787
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_972481
700 1 _aVallès Codina, Oriol.
_eeditor.
_0(orcid)0000-0002-1361-8243
_1https://orcid.org/0000-0002-1361-8243
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_4http://id.loc.gov/vocabulary/relators/edt
_972482
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aMathematics Online First Collections,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-45105-8
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