Iterative Deliberation via Metric Aggregation

Autor:	Eyal Leizerovich, Nimrod Talmon, Gil Ben Zvi
Rok vydání:	2021
Předmět:	Computer Science::Multiagent Systems Mathematical optimization Metric space Iterative and incremental development Current (mathematics) Computer science media_common.quotation_subject Voting Metric (mathematics) Process (computing) Deliberation Social choice theory media_common
Zdroj:	Algorithmic Decision Theory ISBN: 9783030877552 ADT
Popis:	We investigate an iterative deliberation process for an agent community wishing to make a joint decision. We develop a general model consisting of a community of n agents, each with their initial ideal point in some metric space (X, d), such that in each iteration of the iterative deliberation process, all agents move slightly closer to the current winner, according to some voting rule \(\mathcal {R}\). For several natural metric spaces and suitable voting rules for them, we identify conditions under which such an iterative deliberation process is guaranteed to converge.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::09028e5734ffeec366886d3201b9f60b https://doi.org/10.1007/978-3-030-87756-9_11 Zobrazit plný text záznamu