Strategic dominance explained

Dominant strategy
Subsetof:Strategy (game theory)
Supersetof:Rationalizable strategy
Usedfor:Prisoner's dilemma

In game theory, a dominant strategy is a strategy that is better than any other strategy for one player, no matter how that player's opponent will play. Some very simple games can be solved using dominance.

Terminology

A player can compare two strategies, A and B, to determine which one is better. The result of the comparison is one of:

This notion can be generalized beyond the comparison of two strategies.

Strategy: A complete contingent plan for a player in the game. A complete contingent plan is a full specification of a player's behavior, describing each action a player would take at every possible decision point. Because information sets represent points in a game where a player must make a decision, a player's strategy describes what that player will do at each information set.[2]

Rationality: The assumption that each player acts in a way that is designed to bring about what he or she most prefers given probabilities of various outcomes; von Neumann and Morgenstern showed that if these preferences satisfy certain conditions, this is mathematically equivalent to maximizing a payoff. A straightforward example of maximizing payoff is that of monetary gain, but for the purpose of a game theory analysis, this payoff can take any desired outcome—cash reward, minimization of exertion or discomfort, or promoting justice can all be modeled as amassing an overall “utility” for the player. The assumption of rationality states that players will always act in the way that best satisfies their ordering from best to worst of various possible outcomes.

Common Knowledge

The assumption that each player has knowledge of the game, knows the rules and payoffs associated with each course of action, and realizes that every other player has this same level of understanding. This is the premise that allows a player to make a value judgment on the actions of another player, backed by the assumption of rationality, into consideration when selecting an action.

Dominance and Nash equilibria

CD
C1, 10, 0
D0, 00, 0
If a strictly dominant strategy exists for one player in a game, that player will play that strategy in each of the game's Nash equilibria. If both players have a strictly dominant strategy, the game has only one unique Nash equilibrium, referred to as a "dominant strategy equilibrium". However, that Nash equilibrium is not necessarily "efficient", meaning that there may be non-equilibrium outcomes of the game that would be better for both players. The classic game used to illustrate this is the Prisoner's Dilemma.

Strictly dominated strategies cannot be a part of a Nash equilibrium, and as such, it is irrational for any player to play them. On the other hand, weakly dominated strategies may be part of Nash equilibria. For instance, consider the payoff matrix pictured at the right.

Strategy C weakly dominates strategy D. Consider playing C: If one's opponent plays C, one gets 1; if one's opponent plays D, one gets 0. Compare this to D, where one gets 0 regardless. Since in one case, one does better by playing C instead of D and never does worse, C weakly dominates D. Despite this, is a Nash equilibrium. Suppose both players choose D. Neither player will do any better by unilaterally deviating - if a player switches to playing C, they will still get 0. This satisfies the requirements of a Nash equilibrium. Suppose both players choose C. Neither player will do better by unilaterally deviating—if a player switches to playing D, they will get 0. This also satisfies the requirements of a Nash equilibrium.

Iterated elimination of strictly dominated strategies

See main article: Rationalizability.

The iterated elimination (or deletion, or removal) of dominated strategies (also denominated as IESDS, or IDSDS, or IRSDS) is one common technique for solving games that involves iteratively removing dominated strategies. In the first step, all dominated strategies are removed from the strategy space of each of the players, since no rational player would ever play these strategies. This results in a new, smaller game. Some strategies - that were not dominated before - may be dominated in the smaller game. The first step is repeated, creating a new even smaller game, and so on.

This process is valid since it is assumed that rationality among players is common knowledge, that is, each player knows that the rest of the players are rational, and each player knows that the rest of the players know that he knows that the rest of the players are rational, and so on ad infinitum (see Aumann, 1976).

See also

References

Notes and References

  1. Leyton-Brown . Kevin . Shoham . Yoav . January 2008 . Essentials of Game Theory: A Concise Multidisciplinary Introduction . Synthesis Lectures on Artificial Intelligence and Machine Learning . en . 2 . 1 . 36. 10.2200/S00108ED1V01Y200802AIM003.
  2. Book: Joel, Watson. Strategy: An Introduction to Game Theory. 9780393918380. Third. New York. 842323069. 2013-05-09.