Online Voter Control in Sequential Elections

Computer Science – Computer Science and Game Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

14 pages

Scientific paper

Previous work on voter control, which refers to situations where a chair seeks to change the outcome of an election by deleting, adding, or partitioning voters, takes for granted that the chair knows all the voters' preferences and that all votes are cast simultaneously. However, elections are often held sequentially and the chair thus knows only the previously cast votes and not the future ones, yet needs to decide instantaneously which control action to take. We introduce a framework that models \emph{online voter control in sequential elections}. We show that the related problems can be much harder than in the standard (non-online) case: For certain election systems, even with efficient winner problems, online control by deleting, adding, or partitioning voters is PSPACE-complete, even if there are only two candidates. In addition, we obtain completeness for coNP in the deleting/adding cases with a bounded deletion/addition limit, and for NP in the partition cases with only one candidate. Finally, we show that for plurality, online control by deleting or adding voters is in P, and for partitioning voters is coNP-hard.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Online Voter Control in Sequential Elections does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Online Voter Control in Sequential Elections, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Online Voter Control in Sequential Elections will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-166061

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.