SOCIAL CHOICE THEORY AND DISTRIBUTED DECISION MAKING.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Strategies of distributed decision-making based on social choice theory can be used to create a balance between organizational complexity and uncertainty. Although group decision support systems (GDSSs) have included options for making human collective choices, their design has not been based on optimal rules. Social choice theory can also be used to improve the reliability of decisions made by nodes in distributed computer networks. Three examples illustrate the application of this theory: human computer-mediated distributed decision making, the election of a coordinator to reorganize a failed distributed network, and the use of weighted votes to improve network reliability.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
EditorsRobert B. Allen, Bellcore
PublisherIEEE
Pages158-168
Number of pages11
ISBN (Print)0897912616
StatePublished - Jan 1 1988
Externally publishedYes

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Urken, A. B. (1988). SOCIAL CHOICE THEORY AND DISTRIBUTED DECISION MAKING. In R. B. Allen, & Bellcore (Eds.), Unknown Host Publication Title (pp. 158-168). IEEE.