Voting on Actions with Uncertain Outcomes

Authors
Publication date 2013
Host editors
  • P. Perny
  • M. Pirlot
  • A. Tsoukiàs
Book title Algorithmic Decision Theory
Book subtitle Third International Conference, ADT 2013, Bruxelles, Belgium, November 12-14, 2013 : proceedings
ISBN
  • 9783642415746
ISBN (electronic)
  • 9783642415753
Series Lecture Notes in Computer Science
Event International Conference on Algorithmic Decision Theory (ADT 2013); 3 (Bruxelles): 2013.11.13-15
Pages (from-to) 167-180
Publisher Heidelberg: Springer
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract We introduce a model for voting under uncertainty where a group of voters have to decide on a joint action to take, but the individual voters are uncertain about the current state of the world and thus about the effect that the chosen action would have. Each voter has preferences about what state they would like to see reached once the action has been executed. That is, we need to integrate two kinds of aggregation: beliefs regarding the current state and preferences regarding the next state.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-41575-3_13
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