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Discovering Complexity

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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.

Discovering Complexity

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Release : 1993-01-01
Genre :
Kind : eBook
Book Rating : 971/5 ( 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 1993-01-01. Available in PDF, EPUB and Kindle. Book excerpt:

Think Complexity

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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

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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.

Decoding Complexity

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Release : 2012-11-08
Genre : Science
Kind : eBook
Book Rating : 245/5 ( reviews)

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Book Synopsis Decoding Complexity by : james glattfelder

Download or read book Decoding Complexity written by james glattfelder. This book was released on 2012-11-08. Available in PDF, EPUB and Kindle. Book excerpt: Today it appears that we understand more about the universe than about our interconnected socio-economic world. In order to uncover organizational structures and novel features in these systems, we present the first comprehensive complex systems analysis of real-world ownership networks. This effort lies at the interface between the realms of economics and the emerging field loosely referred to as complexity science. The structure of global economic power is reflected in the network of ownership ties of companies and the analysis of such ownership networks has possible implications for market competition and financial stability. Thus this work presents powerful new tools for the study of economic and corporate networks that are only just beginning to attract the attention of scholars.

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