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Complexity of terminating preference elicitation
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International Conference on Autonomous Agents archive
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2 table of contents
Estoril, Portugal
SESSION: Economic paradigms table of contents
Pages 967-974  
Year of Publication: 2008
ISBN:978-0-9817381-1-6
Author
Toby Walsh  NICTA and UNSW, Sydney, Australia
Sponsors
AAAI : Association for the Advancement of Artifical Intelligence
ACM: Association for Computing Machinery
Publisher
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 50,   Citation Count: 0
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ABSTRACT

Complexity theory is a useful tool to study computational issues surrounding the elicitation of preferences, as well as the strategic manipulation of elections aggregating together preferences of multiple agents. We study here the complexity of determining when we can terminate eliciting preferences, and prove that the complexity depends on the elicitation strategy. We show, for instance, that it may be better from a computational perspective to elicit all preferences from one agent at a time than to elicit individual preferences from multiple agents. We also study the connection between the strategic manipulation of an election and preference elicitation. We show that what we can manipulate affects the computational complexity of manipulation. In particular, we prove that there are voting rules which are easy to manipulate if we can change all of an agent's vote, but computationally intractable if we can change only some of their preferences. This suggests that, as with preference elicitation, a fine-grained view of manipulation may be informative. Finally, we study the connection between predicting the winner of an election and preference elicitation. Based on this connection, we identify a voting rule where it is computationally difficult to decide the probability of a candidate winning given a probability distribution over the votes.


REFERENCES

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