Parameterized algorithmics for computational social choice: Nine research challenges

Robert Bredereck, Jiehua Chen, Piotr Faliszewski, Jiong Guo, Rolf Niedermeier, Gerhard J. Woeginger

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other side. Typical computational problems studied in this field include the vulnerability of voting procedures against attacks, or preference aggregation in multiagent systems. Parameterized Algorithmics is a subfield of Theoretical Computer Science seeking to exploit meaningful problem-specific parameters in order to identify tractable special cases of in general computationally hard problems. In this paper, we propose nine of our favorite research challenges concerning the parameterized complexity of problems appearing in this context. This work is dedicated to Jianer Chen, one of the strongest problem solvers in the history of parameterized algorithmics, on the occasion of his 60th birthday.

Original languageEnglish
Article number6867518
Pages (from-to)358-373
Number of pages16
JournalTsinghua Science and Technology
Volume19
Issue number4
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes

Keywords

  • NP-hard problems
  • cake cutting
  • decision making
  • exact algorithms
  • fixed-parameter tractability
  • kernelization
  • parameterized complexity
  • voting

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Parameterized algorithmics for computational social choice: Nine research challenges'. Together they form a unique fingerprint.

Cite this