Hedonic game

In cooperative game theory, a hedonic game[1][2] (also known as a (hedonic) coalition formation game) is a game that models the formation of coalitions (groups) of players when players have preferences over which group they belong to. A hedonic game is specified by giving a finite set of players, and, for each player, a preference ranking over all coalitions (subsets) of players that the player belongs to. The outcome of a hedonic game consists of a partition of the players into disjoint coalitions, that is, each player is assigned a unique group. Such partitions are often referred to as coalition structures.

Hedonic games are a type of non-transferable utility game. Their distinguishing feature (the "hedonic aspect"[3]) is that players only care about the identity of the players in their coalition, but do not care about how the remaining players are partitioned, and do not care about anything other than which players are in their coalition. Thus, in contrast to other cooperative games, a coalition does not choose how to allocate profit among its members, and it does not choose a particular action to play. Some well-known subclasses of hedonic games are given by matching problems, such as the stable marriage, stable roommates, and the hospital/residents problems.

The players in hedonic games are typically understood to be self-interested, and thus hedonic games are usually analyzed in terms of the stability of coalition structures, where several notions of stability are used, including the core and Nash stability. Hedonic games are studied both in economics, where the focus lies on identifying sufficient conditions for the existence of stable outcomes, and in multi-agent systems, where the focus lies on identifying concise representations of hedonic games and on the computational complexity of finding stable outcomes.[2]

Definition

Formally, a hedonic game is a pair of a finite set of players (or agents), and, for each player a complete and transitive preference relation over the set of coalitions that player belongs to. A coalition is a subset of the set of players. The coalition is typically called the grand coalition.

A coalition structure is a partition of . Thus, every player belongs to a unique coalition in .

Solution concepts

Like in other areas of game theory, the outcomes of hedonic games are evaluated using solution concepts. Many of these concepts refer to a notion of game-theoretic stability: an outcome is stable if no player (or possibly no coalition of players) can deviate from the outcome so as to reach a subjectively better outcome. Here we give definitions of several solution concepts from the literature.[1][2]

One can also define Pareto optimality of a coalition structure.[4] In the case that the preference relations are represented by utility functions, one can also consider coalition structures that maximize social welfare.

Examples

The following three-player game has been named "an undesired guest".[1]

From these preferences, we can see that and like each other, but dislike the presence of player .

Consider the partition . Notice that in , player 3 would prefer to join the coalition , because , and hence is not Nash-stable. However, if player were to join , player (and also player ) would be made worse off by this deviation, and so player 's deviation does not contradict individual stability. Indeed, one can check that is individually stable. We can also see that there is no group of players such that each member of prefers to their coalition in and so the partition is also in the core.

Another three-player example is known as "two is a company, three is a crowd".[1]

In this game, no partition is core-stable: The partition (where everyone is alone) is blocked by ; the partition (where everyone is together) is blocked by ; and partitions consisting of one pair and a singleton are blocked by another pair, because the preferences contain a cycle.

Concise representations and restricted preferences

Since the preference relations in a hedonic game are defined over the collection of all subsets of the player set, storing a hedonic game takes exponential space. This has inspired various representations of hedonic games that are concise, in the sense that they (often) only require polynomial space.

Existence guarantees

This digraph describes an additively separable hedonic game whose core is empty. It has five players (displayed as circled vertices). Any two players not connected by an arc have valuation -1000 for each other.

Not every hedonic game admits a coalition structure that is stable. For example, we can consider the stalker game, which consists of just two players with and . Here, we call player 2 the stalker. Notice that no coalition structure for this game is Nash-stable: in the coalition structure , where both players are alone, the stalker 2 deviates and joins 1; in the coalition structure , where the players are together, player 1 deviates into the empty coalition so as to not be together with the stalker. There is a well-known instance of the stable roommates problem with 4 players that has empty core,[13] and there is also an additively separable hedonic game with 5 players that has empty core and no individually stable coalition structures.[14]

For symmetric additively separable hedonic games (those that satisfy for all ), there always exists a Nash-stable coalition structure by a potential function argument. In particular, coalition structures that maximize social welfare are Nash-stable.[1] However, there are examples of symmetric additively separable hedonic games that have empty core.[8]

Several conditions have been identified that guarantee the existence of a core coalition structure. This is the case in particular for hedonic games with the common ranking property,[15][16] with the top coalition property,[8] with top or bottom responsiveness,[17] with descending separable preferences,[18][19] and with dichotomous preferences.[20][21]

Computational complexity

When considering hedonic games, the field of algorithmic game theory is usually interested in the complexity of the problem of finding a coalition structure satisfying a certain solution concept when given a hedonic game as input (in some concise representation).[2] Since it is usually not guaranteed that a given hedonic game admits a stable outcome, such problems can often be phrased as a decision problem asking whether a given hedonic game admits any stable outcome. In many cases, this problem turns out to be computationally intractable.[16][22]

In particular, for hedonic games given by individually rational coalition lists, it is NP-complete to decide whether the game admits a core-stable, a Nash-stable, or an individually stable outcome.[5] The same is true for anonymous games.[5] For additively separable hedonic games, it is NP-complete to decide the existence of a Nash-stable or an individually stable outcome[14] and complete for the second level of the polynomial hierarchy to decide whether there exists a core-stable outcome,[23] even for symmetric additive preferences.[24] These hardness results extend to games given by hedonic coalition nets. While Nash- and individually stable outcomes are guaranteed to exist for symmetric additively separable hedonic games, finding one can still be hard if the valuations are given in binary; the problem is PLS-complete.[25] For the stable marriage problem, a core-stable outcome can be found in polynomial using the deferred acceptance algorithm; for the stable roommates problem, the existence of a core-stable outcome can be decided in polynomial time if preferences are strict,[26] but the problem is NP-complete if preference ties are allowed.[27] Hedonic games with preferences based on the worst player behave very similarly to stable roommates problems with respect to the core,[9] but there are hardness results for other solution concepts.[12] Many of the preceding hardness results can be explained through meta-theorems about extending preferences over single players to coalitions.[22]

References

  1. 1 2 3 4 5 6 Bogomolnaia, Anna; Jackson, Matthew O. (2002-02-01). "The Stability of Hedonic Coalition Structures". Games and Economic Behavior. 38 (2): 201–230. doi:10.1006/game.2001.0877.
  2. 1 2 3 4 Haris Aziz and Rahul Savani, "Hedonic Games". Chapter 15 in: Brandt, Felix; Conitzer, Vincent; Endriss, Ulle; Lang, Jérôme; Procaccia, Ariel D. (2016). Handbook of Computational Social Choice. Cambridge University Press. ISBN 9781107060432. (free online version)
  3. Drèze, J. H.; Greenberg, J. (1980-01-01). "Hedonic Coalitions: Optimality and Stability". Econometrica. 48 (4): 987–1003. doi:10.2307/1912943. JSTOR 1912943.
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  5. 1 2 3 Ballester, Coralio (2004-10-01). "NP-completeness in hedonic games". Games and Economic Behavior. 49 (1): 1–30. doi:10.1016/j.geb.2003.10.003.
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  9. 1 2 Cechlárová, Katarína; Hajduková, Jana (2004-04-15). "Stable partitions with W-preferences". Discrete Applied Mathematics. 138 (3): 333–347. doi:10.1016/S0166-218X(03)00464-5.
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  11. Cechlárová, Katarı´na; Hajduková, Jana (2003-06-01). "Computational complexity of stable partitions with B-preferences". International Journal of Game Theory. 31 (3): 353–364. doi:10.1007/s001820200124. ISSN 0020-7276.
  12. 1 2 Aziz, Haris; Harrenstein, Paul; Pyrga, Evangelia (2012-01-01). "Individual-based Stability in Hedonic Games Depending on the Best or Worst Players". Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3. AAMAS '12. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems. 1105: 1311–1312. arXiv:1105.1824Freely accessible [cs.GT]. Bibcode:2011arXiv1105.1824A. ISBN 0981738133.
  13. Gale, D.; Shapley, L. S. (1962-01-01). "College Admissions and the Stability of Marriage". The American Mathematical Monthly. 69 (1): 9–15. doi:10.2307/2312726. JSTOR 2312726.
  14. 1 2 Sung, Shao-Chin; Dimitrov, Dinko (2010-06-16). "Computational complexity in additive hedonic games". European Journal of Operational Research. 203 (3): 635–639. doi:10.1016/j.ejor.2009.09.004.
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  19. Karakaya, Mehmet (2011-05-01). "Hedonic coalition formation games: A new stability notion". Mathematical Social Sciences. 61 (3): 157–165. doi:10.1016/j.mathsocsci.2011.03.004.
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  22. 1 2 Peters, Dominik; Elkind, Edith (2015-01-01). "Simple Causes of Complexity in Hedonic Games". Proceedings of the 24th International Conference on Artificial Intelligence. IJCAI'15. Buenos Aires, Argentina: AAAI Press. 1507: 617–623. arXiv:1507.03474Freely accessible [cs.GT]. Bibcode:2015arXiv150703474P. ISBN 9781577357384.
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  25. Gairing, Martin; Savani, Rahul (2010-10-18). Kontogiannis, Spyros; Koutsoupias, Elias; Spirakis, Paul G., eds. Computing Stable Outcomes in Hedonic Games. Lecture Notes in Computer Science. Springer Berlin Heidelberg. pp. 174–185. doi:10.1007/978-3-642-16170-4_16. ISBN 9783642161698.
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