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The Mechanical Mind in History$
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Phil Husbands, Owen Holland, and Michael Wheeler

Print publication date: 2008

Print ISBN-13: 9780262083775

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262083775.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 24 September 2021

An Interview with John Holland

An Interview with John Holland

Chapter:
(p.381) (p.382) (p.383) 16 An Interview with John Holland
Source:
The Mechanical Mind in History
Author(s):

Philip Husbands

Owen Holland

Michael Wheeler

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262083775.003.0016

John Holland studied physics at MIT and then worked for IBM, where he was involved in some of the first research on adaptive artificial neural networks. He went on to the University of Michigan for graduate studies in mathematics and communication sciences and has remained there ever since; he is professor of psychology and professor of electrical engineering and computer science there. Among many important contributions to a number of different fields, mostly related to complex adaptive systems, he developed genetic algorithms and learning classifier systems, foundation stones of the field of evolutionary computing. This chapter presents an edited transcript of an interview conducted on 17 May 2006. Holland recounts how his theories of adaptive systems were influenced by biology, then reflects on recent developments and considers why, in the late 1980s, there was a great resurgence of interest in complex adaptive systems.

Keywords:   artificial neural networks, adaptive systems, genetic algorithms, learning classifier systems, evolutionary computing

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