[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-40805-en":3,"doc-seo-40805-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},40805,1374391974468,"Eden","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","The Nonlinear World: Conceptual Analysis and Phenomenology","The Nonlinear World: Conceptual Analysis and Phenomenology by Yoshitsugu Oono presents a framework for understanding complex systems and nonlinear dynamics through conceptual analysis. It connects macroscopic collective behavior to interacting parts and maps representative models to real-world domains such as climate, lasers, chemical reaction-diffusion, biological networks, markets, internet dynamics, earthquakes, traffic flow, brain activity, and social opinion formation. It also situates key tools—including self-organization, synergetics, chaos, stochastic processes, networks, and cellular automata—within established academic publishing series.","Springer Complexity  \nSpringer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems – cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science.  \nComplex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse “real-life” situations like the climate, the coherent emission of light from lasers, chemical reaction-diffusion systems, biological cellular networks, the dynamics of stock markets and of the internet, earthquake statistics and prediction, freeway trafﬁc, the human brain, or the formation of opinions in social systems, to name just some of the popular applications.  \nAlthough their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphsand networks, cellular automata, adaptive systems, genetic algorithms and computational intelligence.  \nThe three major book publication platforms of the Springer Complexity program are the monograph series “Understanding Complex Systems” focusing on the various applications of complexity, the “Springer Series in Synergetics”, which is devoted to the quantitative theoretical and methodological foundations, and the “SpringerBriefs in Complexity” which are concise and topical working reports, case-studies, surveys, essays and lecture notes of relevance to the field. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works .  \nEditorial and Programme Advisory Board  \nHenry Abarbanel, Institute for Nonlinear Science, University of California, San Diego, USA  \nDan Braha, New England Complex Systems Institute and University of Massachusetts Dartmouth, USAPter ´Erdi, Center for Complex Systems Studies, Kalamazoo College, USA and Hungarian Academy of Sciences, Budapest, Hungary  \nKarl Friston, Institute of Cognitive Neuroscience, University College London, London, UK Hermann Haken, Center of Synergetics, University of Stuttgart, Stuttgart, Germany  \nViktor Jirsa, Centre National de la Recherche Scientiﬁque (CNRS), Universit de la Mditerrane, Marseille, France  \nJanusz Kacprzyk, System Research, Polish Academy of Sciences, Warsaw, Poland  \nKunihiko Kaneko, Research Center for Complex Systems Biology, The University of Tokyo, Tokyo, Japan Scott Kelso, Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, USA Markus Kirkilionis, Mathematics Institute and Centre for Complex Systems, University of Warwick, Coventry, UK  \nJu¨rgen Kurths, Nonlinear Dynamics Group, University of Potsdam, Potsdam, Germany Andrzej Nowak, Department of Psychology, Warsaw University, Poland  \nLinda Reichl, Center for Complex Quantum Systems, University of Texas, Austin, USA  \nPeter Schuster, Theoretical Chemistry and Structural Biology, University of Vienna, Vienna, Austria Frank Schweitzer, System Design, ETH Zurich, Zurich, Switzerland  \nDidier Sornette, Entrepreneurial Risk, ETH Zurich, Zurich, Switzerland  \nStefan Thurner, Section for Science of Complex Systems, Medical University of Vienna, Vienna, Austria  \nFounding Editor: H. Haken  \nThe Springer Series in Synergetics was founded by Herman Haken in 1977 . Since then, the series has evolved into a substantial reference library for the quantitative, theoretical and methodological foundations of the science of complex systems.  \nThrough many enduring classic texts, such as Haken’s Synergetics and Infor","cbCaikm6hHfG4RPu","https://ap.wps.com/l/cbCaikm6hHfG4RPu","pdf",3219512,1,306,"English","en",105,"# Springer Complexity and Complex Systems\n## Core concepts and tools\n## Publication platforms and series focus\n## Editorial and advisory board\n# The Nonlinear World: metadata and positioning\n## Author and conceptual framing\n## Bibliographic identifiers and publication details","[{\"question\":\"What does “complex systems” mean in this document?\",\"answer\":\"Complex systems consist of many interacting parts that generate new macroscopic collective behavior, often forming spontaneous temporal, spatial, or functional structures.\"},{\"question\":\"Which real-world application areas are used to illustrate complex systems models?\",\"answer\":\"Examples include climate, laser emission, chemical reaction-diffusion, biological cellular networks, stock markets and the internet, earthquake statistics and prediction, freeway traffic, brain dynamics, and social opinion formation.\"},{\"question\":\"What main concepts and tools are highlighted for studying complex systems?\",\"answer\":\"The document emphasizes self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, adaptive systems, and genetic algorithms and computational 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does “complex systems” mean in this document?","Question",{"text":74,"@type":75},"Complex systems consist of many interacting parts that generate new macroscopic collective behavior, often forming spontaneous temporal, spatial, or functional structures.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"Which real-world application areas are used to illustrate complex systems models?",{"text":79,"@type":75},"Examples include climate, laser emission, chemical reaction-diffusion, biological cellular networks, stock markets and the internet, earthquake statistics and prediction, freeway traffic, brain dynamics, and social opinion formation.",{"name":81,"@type":72,"acceptedAnswer":82},"What main concepts and tools are highlighted for studying complex systems?",{"text":83,"@type":75},"The document emphasizes self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, 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