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Book
Natural Complexity
Author:
ISBN: 1400885493 9781400885497 9780691170350 9780691176840 0691176841 9780691176840 0691170355 9780691170350 Year: 2017 Publisher: Princeton, NJ

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Abstract

This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises.

Keywords

Complexity (Philosophy) --- Physics --- Computational complexity. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Philosophy --- Emergence (Philosophy) --- Methodology. --- Burridge-Knopoff stick-slip model. --- Gutenberg-Richter law. --- Johannes Kepler. --- Olami-Feder-Christensen model. --- Python code. --- accretion. --- active flockers. --- agents. --- automobile traffic. --- avalanches. --- cells. --- cellular automata. --- chaos. --- clusters. --- complex behavior. --- complex structure. --- complex system. --- complexity. --- computational model. --- computer program. --- contagious diseases. --- criticality. --- diffusion-limited aggregation. --- earthquake forecasting. --- earthquakes. --- emergence. --- emergent behavior. --- emergent structure. --- epidemic spread. --- epidemic surges. --- excitable system. --- flocking. --- forest fires. --- fractal clusters. --- fractal geometry. --- growth. --- hodgepodge machine. --- infection rate. --- iterated growth. --- lattice. --- lichens. --- natural complex system. --- natural complexity. --- natural order. --- natural phenomena. --- nature. --- open dissipative system. --- panic. --- passive flockers. --- pattern formation. --- percolation threshold. --- percolation. --- phase transition. --- planetary motion. --- power-law. --- random walk. --- randomness. --- repulsion. --- rule-based growth. --- sandpile. --- scale invariance. --- segregation. --- self-organization. --- self-organized criticality. --- self-propulsion. --- self-similarity. --- simple rules. --- small-world network. --- solar flares. --- spaghetti. --- spatiotemporal pattern. --- spiral. --- tagging algorithm. --- traffic jams. --- waves. --- wildfire management.


Book
Systems Thinking
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.


Book
Systems Thinking
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.


Book
Systems Thinking
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.

Keywords

History of engineering & technology --- systems philosophy --- heuristic systems principles --- scientific systems principles --- general systems principles --- specialized systems principles --- general systems theory --- GST --- sustainability --- systems thinking --- UN sustainable development goals --- mental models --- neoliberalism --- ecological economics --- isomorphic systems processes (ISPs) --- Monterey Phoenix (MP) --- behavior modeling --- emergent behavior --- cycles and cycling --- systems processes theory (SPT) --- family --- family system --- natural systems thinking --- Murray Bowen --- integrative theory --- competence --- maturity models --- worldview --- Worldview Inquiry Framework --- General Inquiry Framework --- system thinking --- systems approach --- capacity for systems thinking --- Myers Briggs Type Indicator (MBTI) personality type test --- concept map --- termbase --- systems perspective --- ontology of systems --- frontier research --- shadow IT --- IT integration --- IT integration drawbacks --- application integration --- path dependency --- path biography --- switching costs --- education for sustainable development --- teacher education --- systems education --- soft systems methodology (SSM) --- bibliometrics --- academic impact of SSM --- data visualization --- systems engineering --- healthcare system design --- clinical models --- socio-technical system --- model-based systems engineering --- systems philosophy --- heuristic systems principles --- scientific systems principles --- general systems principles --- specialized systems principles --- general systems theory --- GST --- sustainability --- systems thinking --- UN sustainable development goals --- mental models --- neoliberalism --- ecological economics --- isomorphic systems processes (ISPs) --- Monterey Phoenix (MP) --- behavior modeling --- emergent behavior --- cycles and cycling --- systems processes theory (SPT) --- family --- family system --- natural systems thinking --- Murray Bowen --- integrative theory --- competence --- maturity models --- worldview --- Worldview Inquiry Framework --- General Inquiry Framework --- system thinking --- systems approach --- capacity for systems thinking --- Myers Briggs Type Indicator (MBTI) personality type test --- concept map --- termbase --- systems perspective --- ontology of systems --- frontier research --- shadow IT --- IT integration --- IT integration drawbacks --- application integration --- path dependency --- path biography --- switching costs --- education for sustainable development --- teacher education --- systems education --- soft systems methodology (SSM) --- bibliometrics --- academic impact of SSM --- data visualization --- systems engineering --- healthcare system design --- clinical models --- socio-technical system --- model-based systems engineering

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