Tournament solution
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A tournament solution is a social choice function operating on orientations of complete graphs (tournaments).
Definition
A tournament (graph) is a tuple where is a set of vertices (called alternatives) and is a connex and asymmetric binary relation over the vertices, which can be obtained from a preference profile by pairwise majority comparison.
A tournament solution is a function that maps each tournament to a nonempty subset of its alternatives called the choice set[1] and does not distinguish between isomorphic tournaments:
- If is a graph isomorphism between two tournaments and , then
Examples
Common examples of tournament solutions are:
- Copeland's method
- Top cycle
- Slater set
- Bipartisan set
- Uncovered set
- Minimal covering set
- Tournament Equilibrium Set
Applications
Tournaments solutions are used in various areas such as sports competition, webpage ranking[2], dueling bandit problems[3], and biology.
References
- ^ Felix Brandt; Markus Brill; Paul Harrenstein (28 April 2016). "Chapter 3: Tournament Solutions" (PDF). In Felix Brandt; Vincent Conitzer; Ulle Endriss; Jérôme Lang; Ariel D. Procaccia (eds.). Handbook of Computational Social Choice. Cambridge University Press. ISBN 978-1-316-48975-8.
- ^ Felix Brandt; Felix Fischer (2007). "PageRank as a Weak Tournament Solution" (PDF). Lecture Notes in Computer Science (LNCS). 3rd International Workshop on Internet and Network Economics (WINE). Vol. 4858. San Diego, USA: Springer. pp. 300–305.
- ^ Siddartha Ramamohan; Arun Rajkumar; Shivani Agarwal (2016). Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions (PDF). 29th Conference on Neural Information Processing Systems (NIPS 2016). Barcelona, Spain.