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Social Choice in a Computer-Assisted Simulation

Towson University, Towson, Maryland, USA, pthavikulwat{at}towson.edu

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.

Key Words: affinity propagation • assessment of learning • business • bustling market • clustering algorithm • computer-assisted • continuous voting • GEO • periodic double auction • proposal voting • social choice

This version was published on August 1, 2009

Simulation & Gaming, Vol. 40, No. 4, 488-512 (2009)
DOI: 10.1177/1046878109335921


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