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Exploring Complexity

1989 Science
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Release : 1989
Genre : Science
Kind : eBook
Book Rating : 598/5 ( reviews)

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Book Synopsis Exploring Complexity by : G. Nicolis

Download or read book Exploring Complexity written by G. Nicolis. This book was released on 1989. Available in PDF, EPUB and Kindle. Book excerpt: Unexpected discoveries in nonequilibrium physics and nonlinear dynamics are changing our understanding of complex phenomena. Recent research has revealed fundamental new properties of matter in far-from-equilibrium conditions, and the prevalence of instability-where small changes in initial conditions may lead to amplified effects.

Think Complexity

2012-03-02 Computers
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Release : 2012-03-02
Genre : Computers
Kind : eBook
Book Rating : 635/5 ( reviews)

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Book Synopsis Think Complexity by : Allen Downey

Download or read book Think Complexity written by Allen Downey. This book was released on 2012-03-02. Available in PDF, EPUB and Kindle. Book excerpt: Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide.

Exploring Complexity in Health: An Interdisciplinary Systems Approach

2016-09-22 Health & Fitness
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Release : 2016-09-22
Genre : Health & Fitness
Kind : eBook
Book Rating : 784/5 ( reviews)

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Book Synopsis Exploring Complexity in Health: An Interdisciplinary Systems Approach by : A. Hoerbst

Download or read book Exploring Complexity in Health: An Interdisciplinary Systems Approach written by A. Hoerbst. This book was released on 2016-09-22. Available in PDF, EPUB and Kindle. Book excerpt: The field of health is an increasingly complex and technical one; and an area in which a more multidisciplinary approach would undoubtedly be beneficial in many ways. This book presents papers from the conference ‘Health – Exploring Complexity: An Interdisciplinary Systems Approach’, held in Munich, Germany, from August 28th to September 2nd 2016. This joint conference unites the conferences of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), the German Society for Epidemiology (DGEpi), the International Epidemiological Association - European Region, and the European Federation for Medical Informatics (EFMI). These societies already have long-standing experience of integrating the disciplines of medical informatics, biometry, epidemiology and health data management. The book contains over 160 papers, and is divided into 14 sections covering subject areas such as: health and clinical information systems; eHealth and telemedicine; big data and advanced analytics; and evidence-based health informatics, evaluation and education, among many others. The book will be of value to all those working in the field of health and interested in finding new ways to enable the collaboration of different scientific disciplines and the establishment of comprehensive methodological approaches.

Complexity Theory

2005-04-11 Computers
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Release : 2005-04-11
Genre : Computers
Kind : eBook
Book Rating : 458/5 ( reviews)

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Book Synopsis Complexity Theory by : Ingo Wegener

Download or read book Complexity Theory written by Ingo Wegener. This book was released on 2005-04-11. Available in PDF, EPUB and Kindle. Book excerpt: Reflects recent developments in its emphasis on randomized and approximation algorithms and communication models All topics are considered from an algorithmic point of view stressing the implications for algorithm design

Discovering Complexity

2010-08-06 Science
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Release : 2010-08-06
Genre : Science
Kind : eBook
Book Rating : 737/5 ( reviews)

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Book Synopsis Discovering Complexity by : William Bechtel

Download or read book Discovering Complexity written by William Bechtel. This book was released on 2010-08-06. Available in PDF, EPUB and Kindle. Book excerpt: An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility—the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized. When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993.

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