Download ebook Modularity : Understanding the Development and Evolution of Natural Complex Systems

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Download ebook Modularity : Understanding the Development and Evolution of Natural Complex Systems

Modularity : Understanding the Development and Evolution of Natural Complex Systems. Werner Callebaut

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Author: Werner Callebaut
Number of Pages: 472 pages
Published Date: 30 Sep 2009
Publisher: MIT Press Ltd
Publication Country: Cambridge, Mass., United States
Language: English
ISBN: 9780262513265
Download Link: Modularity Understanding the Development and Evolution of Natural Complex Systems
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Modularity -- the attempt to understand systems as integrations of partially independent and interacting units -- is today a dominant theme in the life sciences, cognitive science, and computer science. The concept goes back at least implicitly to the Scientific (or Copernican) Revolution, and can be found behind later theories of phrenology, physiology, and genetics; moreover, art, engineering, and mathematics rely on modular design principles. This collection broadens the scientific discussion of modularity by bringing together experts from a variety of disciplines, including artificial life, cognitive science, economics, evolutionary computation, developmental and evolutionary biology, linguistics, mathematics, morphology, paleontology, physics, theoretical chemistry, philosophy, and the arts.The contributors debate and compare the uses of modularity, discussing the different disciplinary contexts of "modular thinking" in general (including hierarchical organization, near-decomposability, quasi-independence, and recursion) or of more specialized concepts (including character complex, gene family, encapsulation, and mosaic evolution); what modules are, why and how they develop and evolve, and the implication for the research agenda in the disciplines involved; and how to bring about useful cross-disciplinary knowledge transfer on the topic. The book includes a foreword by the late Herbert A. Simon addressing the role of near-decomposability in understanding complex systems.

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