Signals and Boundaries: Building Blocks for Complex Adaptive Systems

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John H. Holland (Professor of Psychology and of Electrical Engineering and Computer Science, University of Michigan)

Signals and Boundaries

Building Blocks for Complex Adaptive Systems

John H. Holland (Professor of Psychology and of Electrical Engineering and Computer Science, University of Michigan)

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English

MIT Press
10 January 2014

Machine learning; Neural networks & fuzzy systems

Series: Signals and Boundaries

"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."

By: John H. Holland (Professor of Psychology and of Electrical Engineering and Computer Science University of Michigan)
Imprint: MIT Press
Country of Publication: United States
Dimensions: Height: 203mm, Width: 137mm, Spine: 14mm
Weight: 318g
ISBN: 9780262525930
ISBN 10: 0262525933
Series: Signals and Boundaries
Pages: 316
Publication Date: 10 January 2014
Recommended Age: From 18 years
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.