Signals and Boundaries: Building Blocks for Complex Adaptive Systems by Holland, John H.

Signals and Boundaries: Building Blocks for Complex Adaptive Systems

An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that...
HK$537.30
HK$537.30
SKU: 9780262525930
Product Type: Books
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Author: John H. Holland
Format: Paperback
Language: English
Subtotal: $537.30
Signals and Boundaries: Building Blocks for Complex Adaptive Systems by Holland, John H.

Signals and Boundaries: Building Blocks for Complex Adaptive Systems

$537.30

Signals and Boundaries: Building Blocks for Complex Adaptive Systems

$537.30
Author: John H. Holland
Format: Paperback
Language: English
An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.

Complex 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.



Author: John H. Holland
Publisher: Mit Press
Published: 01/10/2014
Pages: 308
Binding Type: Paperback
Weight: 0.69lbs
Size: 7.67h x 5.30w x 0.64d
ISBN: 9780262525930
Audience: Young Adult

About the Author
Holland, John H.: - 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.

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