Making Consensus Tractable

Abstract

We study a model of consensus decision making in which a finite group of Bayesian agents has to choose between one of two courses of action. Each member of the group has a private and independent signal at his or her disposal, giving some indication as to which action is optimal. To come to a common decision, the participants perform repeated rounds of voting. In each round, each agent casts a vote in favor of one of the two courses of action, reflecting his or her current belief, and observes the votes of the rest.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 01, 2013
Source ID
10.1145/2542174.2542176

Entities

People

  • Elchanan Mossel
  • Omer Tamuz

Organizations

  • Alfred P. Sloan Foundation
  • Bulgarian Science Fund
  • Google
  • Israel Science Foundation
  • National Science Foundation Division of Mathematical Sciences
  • Office of Naval Research
  • University of California, Berkeley
  • Weizmann Institute of Science

Tags

Fields of Study

  • Economics

Readers

  • Educational Psychology
  • STEM Education
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms