Communication complexity
iBundle: an efficient ascending price bundle auction
Proceedings of the 1st ACM conference on Electronic commerce
AkBA: a progressive, anonymous-price combinatorial auction
Proceedings of the 2nd ACM conference on Electronic commerce
Preference elicitation in combinatorial auctions
Proceedings of the 3rd ACM conference on Electronic Commerce
Complexity of manipulating elections with few candidates
Eighteenth national conference on Artificial intelligence
Vote elicitation: complexity and strategy-proofness
Eighteenth national conference on Artificial intelligence
On polynomial-time preference elicitation with value queries
Proceedings of the 4th ACM conference on Electronic commerce
Some complexity questions related to distributive computing(Preliminary Report)
STOC '79 Proceedings of the eleventh annual ACM symposium on Theory of computing
How many candidates are needed to make elections hard to manipulate?
Proceedings of the 9th conference on Theoretical aspects of rationality and knowledge
Applying learning algorithms to preference elicitation
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Preference Elicitation and Query Learning
The Journal of Machine Learning Research
Effectiveness of Query Types and Policies for Preference Elicitation in Combinatorial Auctions
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Decentralized voting with unconditional privacy
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
The communication complexity of coalition formation among autonomous agents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Sequential voting rules and multiple elections paradoxes
TARK '07 Proceedings of the 11th conference on Theoretical aspects of rationality and knowledge
Eliciting single-peaked preferences using comparison queries
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Automated design of scoring rules by learning from examples
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A Short Introduction to Computational Social Choice
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
A note on the query complexity of the Condorcet winner problem
Information Processing Letters
Single-peaked consistency and its complexity
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Computational aspects of mechanism design
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Determining possible and necessary winners under common voting rules given partial orders
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Journal of Artificial Intelligence Research
Eliciting single-peaked preferences using comparison queries
Journal of Artificial Intelligence Research
Compiling the votes of a subelectorate
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Towards a dichotomy for the Possible Winner problem in elections based on scoring rules
Journal of Computer and System Sciences
Iterative voting under uncertainty for group recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Comparing multiagent systems research in combinatorial auctions and voting
Annals of Mathematics and Artificial Intelligence
Aggregating value ranges: preference elicitation and truthfulness
Autonomous Agents and Multi-Agent Systems
Practical voting rules with partial information
Autonomous Agents and Multi-Agent Systems
A generic coordination mechanism for lot-sizing in supply chains
Electronic Commerce Research
Preferences in AI: An overview
Artificial Intelligence
Strategic sequential voting in multi-issue domains and multiple-election paradoxes
Proceedings of the 12th ACM conference on Electronic commerce
Voting almost maximizes social welfare despite limited communication
Artificial Intelligence
Compilation and communication protocols for voting rules with a dynamic set of candidates
Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge
Group intention is social choice with commitment
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Vote elicitation with probabilistic preference models: empirical estimation and cost tradeoffs
ADT'11 Proceedings of the Second international conference on Algorithmic decision theory
Determining possible and necessary winners under common voting rules given partial orders
Journal of Artificial Intelligence Research
Some representation and computational issues in social choice
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Robust approximation and incremental elicitation in voting protocols
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Communication complexity of approximating voting rules
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Triadic consensus: a randomized algorithm for voting in a crowd
WINE'12 Proceedings of the 8th international conference on Internet and Network Economics
Multi-winner social choice with incomplete preferences
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Efficient vote elicitation under candidate uncertainty
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Hi-index | 0.00 |
We determine the communication complexity of the common voting rules. The rules (sorted by their communication complexity from low to high) are plurality, plurality with runoff, single transferable vote (STV), Condorcet, approval, Bucklin, cup, maximin, Borda, Copeland, and ranked pairs. For each rule, we first give a deterministic communication protocol and an upper bound on the number of bits communicated in it; then, we give a lower bound on (even the nondeterministic) communication requirements of the voting rule. The bounds match for all voting rules except STV and maximin.