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Volumn , Issue , 2012, Pages 543-553

Bayesian vote manipulation: Optimal strategies and impact on welfare

Author keywords

[No Author keywords available]

Indexed keywords

GENERAL OPTIMIZATIONS; MANIPULATION STRATEGY; OPTIMAL STRATEGIES; PROBABILISTIC INFORMATION; REAL DATA SETS; SOCIAL WELFARE; VOTE MANIPULATION; VOTING SCHEMES;

EID: 84886045419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (41)
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  • 2
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  • 7
    • 84886028598 scopus 로고    scopus 로고
    • Probabilistic and utility-theoretic models in social choice: Challenges for learning, elicitation, and manipulation
    • Barcelona
    • Craig Boutilier and Tyler Lu. Probabilistic and utility-theoretic models in social choice: Challenges for learning, elicitation, and manipulation. In IJCAI Workshop on Social Choice and Artificial Intelligence, pages 7-9, Barcelona, 2011.
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    • Boutilier, C.1    Lu, T.2
  • 10
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    • When are elections with few candidates hard to manipulate
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    • Everett, C.J.1    Stein, P.R.2
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    • AI's war on manipulation: Are we winning
    • P. Faliszewski and A. D. Procaccia. AI's war on manipulation: Are we winning? AI Magazine, 31(4):53-64, 2010.
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    • Satterthwaite, M.A.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.