• Signals and Boundaries: Building Blocks for Complex Adaptive Systems

    Signals and Boundaries: Building Blocks for Complex Adaptive Systems (Hardback) By (author) John H. Holland

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    DescriptionComplex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.

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  • Full bibliographic data for Signals and Boundaries

    Signals and Boundaries
    Building Blocks for Complex Adaptive Systems
    Authors and contributors
    By (author) John H. Holland
    Physical properties
    Format: Hardback
    Number of pages: 316
    Width: 136 mm
    Height: 203 mm
    Thickness: 14 mm
    Weight: 499 g
    ISBN 13: 9780262017831
    ISBN 10: 0262017830

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    Warengruppen-Systematik des deutschen Buchhandels: 16320
    B&T Modifier: Academic Level: 02
    B&T General Subject: 229
    B&T Merchandise Category: COM
    BIC subject category V2: UYQN
    Ingram Subject Code: XG
    Abridged Dewey: 003
    DC22: 003
    BISAC V2.8: COM004000
    LC subject heading:
    BIC subject category V2: UYQM
    BISAC V2.8: COM044000
    LC subject heading: , ,
    DC23: 003
    LC subject heading:
    LC classification: TJ217 .H644 2012
    LC subject heading:
    Illustrations note
    27 figures
    MIT Press Ltd
    Imprint name
    MIT Press
    Publication date
    07 August 2012
    Publication City/Country
    Cambridge, Mass.
    Author Information
    John H. Holland is Professor of Psychology and Professor of Computer Science and Engineering at the University of Michigan; he is also Trustee and External Professor at the Santa Fe Institute. He is the author of Hidden Order: How Adaptation Builds Complexity and other books.
    Review quote
    "What is common to cells, rainforests, markets, and language? John Holland demonstrates that each of these complex systems can be analyzed by studying the signals between their evolving parts, the changing boundaries that define these parts, and the coevolution of the signals and the boundaries. The result is a deeper understanding of all complex systems as each application enlightens the others. A remarkable achievement."--Robert Axelrod, author of The Evolution of Cooperation "Complex adaptive systems assume definition as agents arise and organize themselves into specialized units with boundaries and signals that sustain those boundaries, becoming agents themselves in ever-more-complex hierarchies. In his characteristic engaging style, John Holland elucidates the universal organizational principles that characterize hierarchical pattern formation across the spectrum of science."--Simon Levin, Moffett Professor of Biology, Princeton University