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Volumn , Issue , 2013, Pages 319-329

Crowdsourced judgement elicitation with endogenous proficiency

Author keywords

Crowdsourcing; Game theory; Information elicitation; Mechanism design; Peer prediction

Indexed keywords

CURRICULA; GAME THEORY; GRADING; MACHINE DESIGN; WORLD WIDE WEB;

EID: 84893032455     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2488388.2488417     Document Type: Conference Paper
Times cited : (205)

References (19)
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    • John, L.1    Loewenstein, G.2    Prelec, D.3
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    • Jurca, R.1    Faltings, B.2
  • 12
    • 25844515285 scopus 로고    scopus 로고
    • Eliciting informative feedback: The peer-prediction method
    • N. Miller, P. Resnick, and R. Zeckhauser. Eliciting informative feedback: The peer-prediction method. Management Science, pages 1359-1373, 2005.
    • (2005) Management Science , pp. 1359-1373
    • Miller, N.1    Resnick, P.2    Zeckhauser, R.3
  • 14
    • 78650938724 scopus 로고    scopus 로고
    • Mechanism design for the truthful elicitation of costly probabilistic estimates in distributed information systems
    • A. Papakonstantinou, A. Rogers, E. Gerding, and N. Jennings. Mechanism design for the truthful elicitation of costly probabilistic estimates in distributed information systems. Artificial Intelligence, 175(2):648-672, 2011.
    • (2011) Artificial Intelligence , vol.175 , Issue.2 , pp. 648-672
    • Papakonstantinou, A.1    Rogers, A.2    Gerding, E.3    Jennings, N.4
  • 15
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    • A Bayesian truth serum for subjective data
    • D. Prelec. A Bayesian Truth Serum for subjective data. Science, 306(5695):462-466, 2004.
    • (2004) Science , vol.306 , Issue.5695 , pp. 462-466
    • Prelec, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.