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Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models

Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models Int J Comput Math Learning (2009) 14:51–60 DOI 10.1007/s10758-008-9142-6 CO MPU TER M A T H SN A P HSH O T S - CO LU MN ED IT OR: U RI W I L E NS KY * Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models Michelle Hoda Wilkerson Published online: 29 January 2009 Springer Science+Business Media B.V. 2009 1 Introduction This snapshot is intended as an illustration of some ways that computational modeling can help one engage with and extend pragmatically complex applied mathematical problems. Specifically, I explore Coombs unfolding technique (1950), a mathematical method used in psychometrics to analyze individual and collective preferences toward some topic of interest. Coombs unfolding works well when used on individuals, but becomes difficult if one wishes to combine individual data to determine the attitudes and preferences of an entire population. In this paper, I briefly introduce Coombs unfolding technique, and model the technique using simple agent-based models (ABMs) developed in the NetLogo (Wi- lensky 1999) modeling environment. I then attempt to address some of the difficulties one may encounter when applying Coombs unfolding to a population by using these ABMs as a starting point. Finally, I discuss the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Technology, Knowledge and Learning" Springer Journals

Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models

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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/s10758-008-9142-6
Publisher site
See Article on Publisher Site

Abstract

Int J Comput Math Learning (2009) 14:51–60 DOI 10.1007/s10758-008-9142-6 CO MPU TER M A T H SN A P HSH O T S - CO LU MN ED IT OR: U RI W I L E NS KY * Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models Michelle Hoda Wilkerson Published online: 29 January 2009 Springer Science+Business Media B.V. 2009 1 Introduction This snapshot is intended as an illustration of some ways that computational modeling can help one engage with and extend pragmatically complex applied mathematical problems. Specifically, I explore Coombs unfolding technique (1950), a mathematical method used in psychometrics to analyze individual and collective preferences toward some topic of interest. Coombs unfolding works well when used on individuals, but becomes difficult if one wishes to combine individual data to determine the attitudes and preferences of an entire population. In this paper, I briefly introduce Coombs unfolding technique, and model the technique using simple agent-based models (ABMs) developed in the NetLogo (Wi- lensky 1999) modeling environment. I then attempt to address some of the difficulties one may encounter when applying Coombs unfolding to a population by using these ABMs as a starting point. Finally, I discuss the

Journal

"Technology, Knowledge and Learning"Springer Journals

Published: Jan 29, 2009

References