Possible and necessary winners of partial tournaments

We study the problem of computing possible and necessary winners for partially specified weighted and unweighted tournaments. This problem arises naturally in elections with incompletely specified votes, partially completed sports competitions, and more generally in any scenario where the outcome of some pairwise comparisons is not yet fully known. We specifically consider a number of well-known solution concepts---including the uncovered set, Borda, ranked pairs, and maximin---and show that for most of them possible and necessary winners can be identified in polynomial time. These positive algorithmic results stand in sharp contrast to earlier results concerning possible and necessary winners given partially specified preference profiles.

[1]  Vincent Conitzer,et al.  Determining Possible and Necessary Winners under Common Voting Rules Given Partial Orders , 2008, AAAI.

[2]  T. Tideman,et al.  Complete independence of clones in the ranked pairs rule , 1989 .

[3]  Yoav Shoham,et al.  On the complexity of schedule control problems for knockout tournaments , 2009, AAMAS.

[4]  M. Trick,et al.  The computational difficulty of manipulating an election , 1989 .

[5]  Alexander Schrijver,et al.  Combinatorial optimization. Polyhedra and efficiency. , 2003 .

[6]  Toby Walsh,et al.  Dealing with Incomplete Agents' Preferences and an Uncertain Agenda in Group Decision Making via Sequential Majority Voting , 2008, KR.

[7]  Meir Kalech,et al.  Practical voting rules with partial information , 2010, Autonomous Agents and Multi-Agent Systems.

[8]  J. Edmonds Paths, Trees, and Flowers , 1965, Canadian Journal of Mathematics.

[9]  Yongjie Yang,et al.  Possible Winner Problems on Partial Tournaments: A Parameterized Study , 2013, ADT.

[10]  Philippe De Donder,et al.  Choosing from a weighted tournament , 2000, Math. Soc. Sci..

[11]  Toby Walsh,et al.  Possible and necessary winners in voting trees: majority graphs vs. profiles , 2011, AAMAS.

[12]  J. H. Smith AGGREGATION OF PREFERENCES WITH VARIABLE ELECTORATE , 1973 .

[13]  Jörg Rothe,et al.  Taking the final step to a full dichotomy of the possible winner problem in pure scoring rules , 2010, Inf. Process. Lett..

[14]  Daniël Paulusma,et al.  The computational complexity of the elimination problem in generalized sports competitions , 2004, Discret. Optim..

[15]  Ning Ding,et al.  Voting with partial information: what questions to ask? , 2013, AAMAS.

[16]  Yann Chevaleyre,et al.  Possible Winners when New Candidates Are Added: The Case of Scoring Rules , 2010, AAAI.

[17]  Jérôme Lang,et al.  Voting procedures with incomplete preferences , 2005 .

[18]  Felix Brandt,et al.  Extending tournament solutions , 2014, Social Choice and Welfare.

[19]  Philip A. Schrodt,et al.  The Logic of Collective Choice. , 1986 .

[20]  Rolf Niedermeier,et al.  A logic for causal reasoning , 2003, IJCAI 2003.

[21]  Yuval Filmus,et al.  Efficient voting via the top-k elicitation scheme: a probabilistic approach , 2014, EC.

[22]  Craig Boutilier,et al.  Multi-Winner Social Choice with Incomplete Preferences , 2013, IJCAI.

[23]  Begoña Subiza Martínez,et al.  Condorcet choice correspondences for weak tournaments , 1997 .

[24]  Craig Boutilier,et al.  Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs , 2011, ADT.

[25]  Jérôme Monnot,et al.  Possible winners when new alternatives join: new results coming up! , 2011, AAMAS.

[26]  Felix A. Fischer,et al.  The Computational Complexity of Choice Sets , 2007, TARK '07.

[27]  Piotr Faliszewski,et al.  Probabilistic Possible Winner Determination , 2010, AAAI.

[28]  Bhaskar Dutta,et al.  Comparison functions and choice correspondences , 1999 .

[29]  I. Good A note on condorcet sets , 1971 .

[30]  Craig Boutilier,et al.  Efficient Vote Elicitation under Candidate Uncertainty , 2013, IJCAI.

[31]  Vincent Conitzer,et al.  Vote elicitation: complexity and strategy-proofness , 2002, AAAI/IAAI.

[32]  Toby Walsh Complexity of Terminating Preference Elicitation , 2008, AAMAS.

[33]  Nicole Immorlica,et al.  Two-sided matching with partial information , 2013, EC '13.

[34]  T. Tideman,et al.  Independence of clones as a criterion for voting rules , 1987 .

[35]  Ariel D. Procaccia A note on the query complexity of the Condorcet winner problem , 2008, Inf. Process. Lett..

[36]  Piotr Faliszewski,et al.  Campaigns for lazy voters: truncated ballots , 2012, AAMAS.

[37]  Toby Walsh,et al.  Winner determination in voting trees with incomplete preferences and weighted votes , 2011, Autonomous Agents and Multi-Agent Systems.

[38]  Toby Walsh,et al.  Fixing a Balanced Knockout Tournament , 2014, AAAI.

[39]  B. L. Schwartz Possible Winners in Partially Completed Tournaments , 1966 .

[40]  Irène Charon,et al.  A survey on the linear ordering problem for weighted or unweighted tournaments , 2007, 4OR.

[41]  M. R. Rao,et al.  Combinatorial Optimization , 1992, NATO ASI Series.

[42]  Michael A. Trick,et al.  How hard is it to control an election? Math , 1992 .

[43]  Federico Poloni Of Note , 2009 .

[44]  Sarit Kraus,et al.  On the evaluation of election outcomes under uncertainty , 2008, Artif. Intell..

[45]  Yann Chevaleyre,et al.  Compilation and communication protocols for voting rules with a dynamic set of candidates , 2011, TARK XIII.

[46]  Jean-François Laslier,et al.  Tournament Solutions And Majority Voting , 1997 .

[47]  Toby Walsh,et al.  Uncertainty in Preference Elicitation and Aggregation , 2007, AAAI.

[48]  Yann Chevaleyre,et al.  New Candidates Welcome! Possible Winners with respect to the Addition of New Candidates , 2011, Math. Soc. Sci..

[49]  Nadja Betzler,et al.  Towards a dichotomy for the Possible Winner problem in elections based on scoring rules , 2009, J. Comput. Syst. Sci..

[50]  Felix A. Fischer,et al.  The Price of Neutrality for the Ranked Pairs Method , 2012, AAAI.

[51]  M. Breton,et al.  The Bipartisan Set of a Tournament Game , 1993 .

[52]  Piotr Faliszewski,et al.  AI's War on Manipulation: Are We Winning? , 2010, AI Mag..