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Computational Diversions: There Goes the Neighborhood

Computational Diversions: There Goes the Neighborhood Int J Comput Math Learning (2009) 14:195–202 DOI 10.1007/s10758-009-9150-1 COMPUTATIO NAL D I V ERSION S Computational Diversions: There Goes the Neighborhood Michael Eisenberg Published online: 17 September 2009 Springer Science+Business Media B.V. 2009 A recurring theme of this column is that just a little bit of programming can go a long way—that is, by playing with relatively short, understandable programs, one can explore wondrous, and largely uncharted, intellectual landscapes. A case in point is the famous ‘‘self-forming neighborhood’’ model devised by Thomas Schelling. Schelling (who won the 2005 Nobel Prize in economics) described this model in his remarkable book Micro- motives and Macrobehavior (Schelling 1978). Numerous researchers have experimented with (and extended) Schelling’s model since that time, but it seems to me that the model is so rich in possibilities that there are undoubtedly tons of new experiments just waiting to be tried. Schelling’s model is an attempt to understand and explain the formation of distinct geographic neighborhoods of various types—ethnic, religious, racial, linguistic, among other possibilities. As Schelling writes: People get separated along many lines and in many ways. There is segregation by sex, age, income, language, religion, color, personal taste, and the accidents of historical location. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Technology, Knowledge and Learning" Springer Journals

Computational Diversions: There Goes the Neighborhood

Eisenberg, Michael
"Technology, Knowledge and Learning" , Volume 14 (2) – Sep 17, 2009
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References (2)

Publisher
Springer Journals
Copyright
Copyright © 2009 by Springer Science+Business Media B.V.
Subject
Education; Learning and Instruction; Mathematics Education; Educational Technology; Science Education; Creativity and Arts Education
ISSN
2211-1662
eISSN
1573-1766
DOI
10.1007/s10758-009-9150-1
Publisher site
See Article on Publisher Site

Abstract

Int J Comput Math Learning (2009) 14:195–202 DOI 10.1007/s10758-009-9150-1 COMPUTATIO NAL D I V ERSION S Computational Diversions: There Goes the Neighborhood Michael Eisenberg Published online: 17 September 2009 Springer Science+Business Media B.V. 2009 A recurring theme of this column is that just a little bit of programming can go a long way—that is, by playing with relatively short, understandable programs, one can explore wondrous, and largely uncharted, intellectual landscapes. A case in point is the famous ‘‘self-forming neighborhood’’ model devised by Thomas Schelling. Schelling (who won the 2005 Nobel Prize in economics) described this model in his remarkable book Micro- motives and Macrobehavior (Schelling 1978). Numerous researchers have experimented with (and extended) Schelling’s model since that time, but it seems to me that the model is so rich in possibilities that there are undoubtedly tons of new experiments just waiting to be tried. Schelling’s model is an attempt to understand and explain the formation of distinct geographic neighborhoods of various types—ethnic, religious, racial, linguistic, among other possibilities. As Schelling writes: People get separated along many lines and in many ways. There is segregation by sex, age, income, language, religion, color, personal taste, and the accidents of historical location.

Journal

"Technology, Knowledge and Learning" – Springer Journals

Published: Sep 17, 2009

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