Modularity and Optimality in Social Choice
Gennaro Amendola and
Simona Settepanella
LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy
Abstract:
Marengo and the second author have developed in the last years a geometric model of social choice when this takes place among bundles of interdependent elements, showing that by bundling and unbundling the same set of constituent elements an authority has the power of determining the social outcome. In this paper we will tie the model above to tournament theory, solving some of the mathematical problems arising in their work and opening new questions which are interesting not only from a mathematical and a social choice point of view, but also from an economic and a genetic one. In particular, we will introduce the notion of u-local optima and we will study it from both a theoretical and a numerical/probabilistic point of view; we will also describe an algorithm that computes the universal basin of attraction of a social outcome in O(M^3 log M) time (where M is the number of social outcomes).
Keywords: Social rule; modularity; object; optimum; hyperplane arrangement; tournament; algorithm (search for similar items in EconPapers)
JEL-codes: D03 D71 D72 (search for similar items in EconPapers)
Date: 2010-04-22
New Economics Papers: this item is included in nep-cdm, nep-cmp and nep-hpe
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.lem.sssup.it/WPLem/files/2010-05.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ssa:lemwps:2010/05
Access Statistics for this paper
More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).