Beyond plurality: Truth-bias in binary scoring rules

Svetlana Obraztsova, Omer Lev, Evangelos Markakis, Zinovi Rabinovich, Jeffrey S. Rosenschein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It is well known that standard game-theoretic approaches to voting mechanisms lead to a multitude of Nash Equilibria (NE), many of which are counter-intuitive. We focus on truth-biased voters, a model recently proposed to avoid such issues. The model introduces an incentive for voters to be truthful when their vote is not pivotal. This is a powerful refinement, and recent simulations reveal that the surviving equilibria tend to have desirable properties. However, truth-bias has been studied only within the context of plurality, which is an extreme example of k-approval rules with k = 1. We undertake an equilibrium analysis of the complete range of k-approval. Our analysis begins with the veto rule, the other extreme point of k-approval, where each ballot approves all candidates but one. We identify several crucial properties of pure NE for truth-biased veto. These properties show a clear distinction from the setting of truth-biased plurality. We proceed by establishing that deciding on the existence of NE in truth biased veto is an NP-hard problem. We also characterise a tight (in a certain sense) subclass of instances for which the existence of a NE can be decided in poly-time. Finally, we study analogous questions for general k-approval rules.

Original languageAmerican English
Title of host publicationAlgorithmic Decision Theory - 4th International Conference, ADT 2015, Proceedings
EditorsToby Walsh
PublisherSpringer Verlag
Pages451-468
Number of pages18
ISBN (Print)9783319231136
DOIs
StatePublished - 1 Jan 2015
Event4th International Conference on Algorithmic Decision Theory, ADT 2015 - Lexington, United States
Duration: 27 Sep 201530 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9346

Conference

Conference4th International Conference on Algorithmic Decision Theory, ADT 2015
Country/TerritoryUnited States
CityLexington
Period27/09/1530/09/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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