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An NTU cooperative game theoretic view of manipulating elections

Publication ,  Journal Article
Zuckerman, M; Faliszewski, P; Conitzer, V; Rosenschein, JS
Published in: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
January 1, 2011

Social choice theory and cooperative (coalitional) game theory have become important foundations for the design and analysis of multiagent systems. In this paper, we use cooperative game theory tools in order to explore the coalition formation process in the coalitional manipulation problem. Unlike earlier work on a cooperative-game-theoretic approach to the manipulation problem [2], we consider a model where utilities are not transferable. We investigate the issue of stability in coalitional manipulation voting games; we define two notions of the core in these domains, the α-core and the β-core. For each type of core, we investigate how hard it is to determine whether a given candidate is in the core. We prove that for both types of core, this determination is at least as hard as the coalitional manipulation problem. On the other hand, we show that for some voting rules, the α- and the β-core problems are no harder than the coalitional manipulation problem. We also show that some prominent voting rules, when applied to the truthful preferences of voters, may produce an outcome not in the core, even when the core is not empty. © 2011 Springer-Verlag Berlin Heidelberg.

Duke Scholars

Published In

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2011

Volume

7090 LNCS

Start / End Page

363 / 374

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Zuckerman, M., Faliszewski, P., Conitzer, V., & Rosenschein, J. S. (2011). An NTU cooperative game theoretic view of manipulating elections. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 7090 LNCS, 363–374. https://doi.org/10.1007/978-3-642-25510-6_31
Zuckerman, M., P. Faliszewski, V. Conitzer, and J. S. Rosenschein. “An NTU cooperative game theoretic view of manipulating elections.” Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 7090 LNCS (January 1, 2011): 363–74. https://doi.org/10.1007/978-3-642-25510-6_31.
Zuckerman M, Faliszewski P, Conitzer V, Rosenschein JS. An NTU cooperative game theoretic view of manipulating elections. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 2011 Jan 1;7090 LNCS:363–74.
Zuckerman, M., et al. “An NTU cooperative game theoretic view of manipulating elections.” Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 7090 LNCS, Jan. 2011, pp. 363–74. Scopus, doi:10.1007/978-3-642-25510-6_31.
Zuckerman M, Faliszewski P, Conitzer V, Rosenschein JS. An NTU cooperative game theoretic view of manipulating elections. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 2011 Jan 1;7090 LNCS:363–374.

Published In

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2011

Volume

7090 LNCS

Start / End Page

363 / 374

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences