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201001s2021 nyu ob 001 0 eng |
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|a 2020044975
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|a 1536188301
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|a 9781536188301
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|a (OCoLC)1201694073
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|a Q175.32.C65
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|a 003/.85
|2 23
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|a UAMI
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|a From chaos to complexity science :
|b 20 years of multidisciplinary explorations /
|c Franco Orsucci, Nicoletta Sala Sala, editors.
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|a 2101
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|a New York :
|b Nova Science Publishers,
|c [2021]
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|a 1 online resource
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|a text
|b txt
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|a Includes bibliographical references and index.
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|a "This book is dedicated to the first ten years of Chaos and Complexity Letters - International Journal of Dynamical Systems Research. This journal was born to collect and disseminate complexity science related information to anybody interested in the topic; to speed up the evolutionary development of complexity science; to extend its interactions crossing over disciplines, levels of knowledge and geography; and to foster finding new pathways in research and new applications. The structure of CCL was specifically designed to add value to the trans-disciplinary approach while, at the same time, differentiating the epistemology of different contributions. In this enterprise we were sustained and inspired by two great companions that in different ways shared our project during its prehistory: Ilya Prigogine and Francisco Varela. This book collects 16 papers appeared on the first ten volumes of Chaos and Complexity Letters. They range from the life sciences, to STEM and economy, in accordance with the interdisciplinary mission of the journal. A special highlight starts with Acceleration and entropy: a macroscopic analogue of the twin paradox, possibly the last paper written by the Nobel Prize Ilya Prigogine with Gonzalo Ordonez. Important academic specialists who wrote in our scientific journal passed away. For example, Walter Freeman, Tullio Minelli, Ilya Prigogine, and Joseph P. Zbilut. This special issue is also dedicated to them. We are in opinion that their trajectories in life and research designed some contours of the shape of a new science to come"--
|c Provided by publisher
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|a Print version record and CIP data provided by publisher; resource not viewed.
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|a Intro -- Contents -- Preface( -- Introduction -- Chapter 1 -- Acceleration and Entropy: A Macroscopic Analogue of the Twin Paradox -- Chapter 2 -- William James on Consciousness, Revisited( -- Abstract -- 1. Introduction -- 2. The Typology of Causality -- 3. Level 3 -- Macroscopic: The Circular Causality of Intentionality -- 4. Level 2 -- Mesoscopic: The Circular Causality of Reafference -- 5. Level 1 -- Microscopic: Circular Causality among Neurons and Neural Masses -- 6. Circular Causality in Awareness -- 7. Consciousness Viewed as a System Parameter Controlling Chaos -- Conclusion
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|a Acknowledgments -- Ethical Compliance -- References -- Chapter 3 -- The Structural Equations Technique for Testing Hypotheses in Nonlinear Dynamics: Catastrophes, Chaos and Related Dynamics( -- Abstract -- Overview -- Types and Amount of Data -- Statistical Power -- Optimal Time Lag -- Probability Density Functions -- Location -- Scale -- Structure of Behavioral Measurements -- Catastrophe Models -- Nonlinear Statistical Model -- Linear Comparison Models -- Exponential Model Series -- Lyapunov Models -- Bifurcation Models -- Linear Contrasts -- Tips for Using Nonlinear Regression
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|a Testing Catastrophes through Nonlinear Regression -- Examples on Record -- Ethical Compliance -- References -- Chapter 4 -- Dynamical Prediction of Chaotic Time Series -- Chapter 5 -- Synchronization of Oscillators in Complex Networks( -- Abstract -- 1. Introduction -- 2. Formal Development -- 2.1. Synchronization in Arbitrary, Coupled Systems -- 2.2. Beyond Linear Coupling -- 2.3. Networks and Graph Theory -- 3. Synchronization in Semirandom Smallworlds (Cycles) -- 3.1. Generation of Smallworld Cycles -- 3.2. Eigenvalues of Pristine Cycles -- 2.3. Eigenvalues of Smallworld Cycles
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|a 4. Synchronization in Scale-Free Networks -- 4.1. Generation of Scale-Free Networks -- 4.2. Eigenvalues of Pristine Scale-Free Networks -- 4.3. Eigenvalues of Scale-Free Networks -- 5. Hypercube Networks -- Conclusion -- Ethical Compliance -- References -- Chapter 6 -- Contribution to the Debate on Linear and Nonlinear Analysis of the Electroencephalogram( -- Abstract -- Introduction -- Spectral Analysis -- Chaos and Noise in the Electroencephalogram -- Conclusion -- Acknowledgment -- Ethical Compliance -- References -- Chapter 7
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|a Detection of Transient Synchronization in Multivariate Brain Signals Application to Event-Related Potentials -- Chapter 8 -- A Brief Note on Recurrence Quantification Analysis of Bipolar Disorder Performed by Using a Van Der Pol Oscillator Model -- Abstract -- 1. Introduction -- 2. The Bipolar Disorder -- 3. Qualitative Modeling of Bipolar Disorder by the Van Der Pol Mathematical Simulation -- 4. Quantitative Analysis of the Obtained Time Series Data -- 4.1. Gottschalk's Analysis of Correlation Dimension of Experimental Time Series
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Complexity (Philosophy)
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|a Knowledge, Theory of.
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|a Complexité (Philosophie)
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|a Théorie de la connaissance.
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|a epistemology.
|2 aat
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|a Complexity (Philosophy)
|2 fast
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|a Knowledge, Theory of
|2 fast
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|a Orsucci, Franco,
|e editor.
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|a Sala, Nicoletta,
|e editor.
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|i Print version:
|t From chaos to complexity science.
|d New York : Nova Science Publishers, [2021]
|z 9781536188257
|w (DLC) 2020044974
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856 |
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|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2640326
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL6382625
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938 |
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|a EBSCOhost
|b EBSC
|n 2640326
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|b IZTAP
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