Developing the aggregate empirical side of computational social choice
作者： T. Nicolaus Tideman , Florenz Plassmann
DOI: 10.1007/S10472-013-9360-Z
关键词: Voting 、 Computational social choice 、 Aggregate (data warehouse) 、 Complex system 、 Statistical model 、 Econometrics 、 Computer science 、 Spatial model
摘要: The aggregate empirical side of computational social choice has received relatively little attention. This paper provides a progress report on our on-going research project statistical characterizations the outcomes vote-casting processes. We describe model that is capable generating voting situations for three-candidate elections have distribution very similar to observed situations. show simulated can provide interesting insights into question which rule most likely identify best candidate.
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