Saved in:
Bibliographic Details
Main Authors: Bannikova, Marina, Dery, Lihi, Obraztsova, Svetlana, Rabinovich, Zinovi, Rosenschein, Jeffrey S.
Format: Preprint
Published: 2019
Subjects:
Online Access:https://arxiv.org/abs/1905.07173
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866913187153051648
author Bannikova, Marina
Dery, Lihi
Obraztsova, Svetlana
Rabinovich, Zinovi
Rosenschein, Jeffrey S.
author_facet Bannikova, Marina
Dery, Lihi
Obraztsova, Svetlana
Rabinovich, Zinovi
Rosenschein, Jeffrey S.
contents Committee decisions are complicated by a deadline, e.g., the next start of a budget, or the beginning of a semester. In committee hiring decisions, it may be that if no candidate is supported by a strong majority, the default is to hire no one - an option that may cost dearly. As a result, committee members might prefer to agree on a reasonable, if not necessarily the best, candidate, to avoid unfilled positions. In this paper, we propose a model for the above scenario - Consensus Under a Deadline (CUD)- based on a time-bounded iterative voting process. We provide convergence guarantees and an analysis of the quality of the final decision. An extensive experimental study demonstrates more subtle features of CUDs, e.g., the difference between two simple types of committee member behavior, lazy vs.~proactive voters. Finally, a user study examines the differences between the behavior of rational voting bots and real voters, concluding that it may often be best to have bots play on the voters' behalf.
format Preprint
id arxiv_https___arxiv_org_abs_1905_07173
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Reaching Consensus Under a Deadline
Bannikova, Marina
Dery, Lihi
Obraztsova, Svetlana
Rabinovich, Zinovi
Rosenschein, Jeffrey S.
Computers and Society
Committee decisions are complicated by a deadline, e.g., the next start of a budget, or the beginning of a semester. In committee hiring decisions, it may be that if no candidate is supported by a strong majority, the default is to hire no one - an option that may cost dearly. As a result, committee members might prefer to agree on a reasonable, if not necessarily the best, candidate, to avoid unfilled positions. In this paper, we propose a model for the above scenario - Consensus Under a Deadline (CUD)- based on a time-bounded iterative voting process. We provide convergence guarantees and an analysis of the quality of the final decision. An extensive experimental study demonstrates more subtle features of CUDs, e.g., the difference between two simple types of committee member behavior, lazy vs.~proactive voters. Finally, a user study examines the differences between the behavior of rational voting bots and real voters, concluding that it may often be best to have bots play on the voters' behalf.
title Reaching Consensus Under a Deadline
topic Computers and Society
url https://arxiv.org/abs/1905.07173