Social Choice in a Computer-Assisted Simulation

Precha Thavikulwat
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Precha Thavikulwat: Towson University, Towson, Maryland, USA, pthavikulwat@towson.edu

Simulation & Gaming, 2009, vol. 40, issue 4, 488-512

Abstract: Pursuing a line of inquiry suggested by Crookall, Martin, Saunders, and Coote, the author applied, within the framework of design science, an optimal-design approach to incorporate into a computer-assisted simulation two innovative social choice processes: the multiple period double auction and continuous voting. Expectations that the multiple-period-double-auction market would be bustling, that the continuous voting process would be adaptive, and that the simulation would be a suitable candidate for the assessment of learning were met in an administration of the simulation involving about 87 participants. The author suggests that the technology is ready for computer-assisted simulations to be much more widely used than they are today, but that progress may nevertheless be slow because a great deal of personal investment of time and energy is needed to do good work.

Keywords: affinity propagation; assessment of learning; business; bustling market; clustering algorithm; computer-assisted; continuous voting; GEO; periodic double auction; proposal voting; social choice (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:sae:simgam:v:40:y:2009:i:4:p:488-512

DOI: 10.1177/1046878109335921

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