{"title":"Coordinating distributed actions via agent voting","authors":"Arnold B. Urken","doi":"10.1145/91474.91501","DOIUrl":null,"url":null,"abstract":"This paper investigates the use of voting policies to coordinate routing decisions in a phone network. Although the social metaphor of voting has been applied to network coordination decision tasks, this study presents the first operational example of a vote-theoretic group decision support system (GDSS) for nodes. The experimental evidence shows that a collective choice voting policy dominates a policy of individual, hierarchical voting in minimizing movement toward system saturation and promoting load balancing. This result provides a basis for using voting policies to create more complex self-correcting networks.","PeriodicalId":338751,"journal":{"name":"Conference on Organizational Computing Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Organizational Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/91474.91501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper investigates the use of voting policies to coordinate routing decisions in a phone network. Although the social metaphor of voting has been applied to network coordination decision tasks, this study presents the first operational example of a vote-theoretic group decision support system (GDSS) for nodes. The experimental evidence shows that a collective choice voting policy dominates a policy of individual, hierarchical voting in minimizing movement toward system saturation and promoting load balancing. This result provides a basis for using voting policies to create more complex self-correcting networks.