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Advances in dynamics, patterns, cognition: challenges in complexity

This book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California...

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Detalles Bibliográficos
Autores principales: Aranson, Igor, Pikovsky, Arkady, Rulkov, Nikolai, Tsimring, Lev
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-53673-6
http://cds.cern.ch/record/2267242
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author Aranson, Igor
Pikovsky, Arkady
Rulkov, Nikolai
Tsimring, Lev
author_facet Aranson, Igor
Pikovsky, Arkady
Rulkov, Nikolai
Tsimring, Lev
author_sort Aranson, Igor
collection CERN
description This book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-22672422021-04-21T19:12:22Zdoi:10.1007/978-3-319-53673-6http://cds.cern.ch/record/2267242engAranson, IgorPikovsky, ArkadyRulkov, NikolaiTsimring, LevAdvances in dynamics, patterns, cognition: challenges in complexityEngineeringThis book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields.Springeroai:cds.cern.ch:22672422017
spellingShingle Engineering
Aranson, Igor
Pikovsky, Arkady
Rulkov, Nikolai
Tsimring, Lev
Advances in dynamics, patterns, cognition: challenges in complexity
title Advances in dynamics, patterns, cognition: challenges in complexity
title_full Advances in dynamics, patterns, cognition: challenges in complexity
title_fullStr Advances in dynamics, patterns, cognition: challenges in complexity
title_full_unstemmed Advances in dynamics, patterns, cognition: challenges in complexity
title_short Advances in dynamics, patterns, cognition: challenges in complexity
title_sort advances in dynamics, patterns, cognition: challenges in complexity
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-53673-6
http://cds.cern.ch/record/2267242
work_keys_str_mv AT aransonigor advancesindynamicspatternscognitionchallengesincomplexity
AT pikovskyarkady advancesindynamicspatternscognitionchallengesincomplexity
AT rulkovnikolai advancesindynamicspatternscognitionchallengesincomplexity
AT tsimringlev advancesindynamicspatternscognitionchallengesincomplexity