🆚Game Theory and Economic Behavior Unit 3 – Dominant Strategies & Iterative Elimination
Dominant strategies and iterative elimination are crucial concepts in game theory. They help players identify optimal choices and simplify complex strategic interactions. These tools are essential for analyzing decision-making in various scenarios, from economics to politics.
Understanding dominant strategies allows players to make rational choices regardless of opponents' actions. Iterative elimination further refines game analysis by removing dominated strategies, often leading to clearer Nash equilibria. These concepts form the foundation for more advanced game theory applications.
Dominant strategies are the best responses for a player regardless of the strategies chosen by other players
Iterative elimination involves removing dominated strategies from a game to simplify the analysis
Nash equilibrium is a set of strategies where no player has an incentive to deviate given the strategies of other players
Payoff matrices represent the outcomes for each combination of strategies chosen by players in a game
Strategic dominance occurs when one strategy dominates another for a player, while strict dominance requires the dominating strategy to have a higher payoff in all cases
Weakly dominated strategies may have equal payoffs in some cases but are never the best response
Rationality assumes that players will always choose their best response given the available information
Defining Dominant Strategies
A dominant strategy provides a player with the highest payoff regardless of the strategies chosen by other players
Dominance can be determined by comparing the payoffs for each strategy across all possible combinations of opponent strategies
In a two-player game, a strategy is dominant if it yields a higher payoff than all other strategies for every possible strategy of the opponent
For example, in the Prisoner's Dilemma, confessing is a dominant strategy for both players as it always results in a shorter sentence regardless of the other player's choice
Dominant strategies, when they exist, simplify the decision-making process for players
Games with dominant strategies often have a clear Nash equilibrium where all players choose their dominant strategy
Types of Dominance
Strict dominance occurs when a strategy provides a strictly higher payoff than another strategy for all possible opponent strategies
If strategy A strictly dominates strategy B, a rational player will never choose strategy B
Weak dominance arises when a strategy provides a payoff at least as high as another strategy for all possible opponent strategies, with a strictly higher payoff in at least one case
Weakly dominated strategies may be rational to play in some cases, particularly when opponents are not expected to play their dominant strategies
Very weak dominance happens when a strategy provides a payoff at least as high as another strategy for all possible opponent strategies, but there is no case where it provides a strictly higher payoff
Dominance solvability refers to games where the iterative elimination of strictly dominated strategies leads to a unique Nash equilibrium
Iterative Elimination Process
Iterative elimination involves removing dominated strategies from a game to simplify the analysis and identify Nash equilibria
The process begins by identifying and removing any strictly dominated strategies for each player
After the first round of elimination, the process is repeated with the reduced game until no more strictly dominated strategies remain
This may require multiple rounds of elimination, as the removal of one player's dominated strategy can cause previously undominated strategies to become dominated for other players
If iterative elimination results in a single strategy remaining for each player, that combination of strategies is the unique Nash equilibrium of the game
Iterative elimination can be applied to games with any number of players and strategies, although the process becomes more complex as the size of the game increases
Applications in Game Theory
Dominant strategies and iterative elimination are fundamental concepts in game theory, with applications in various fields such as economics, political science, and psychology
In the Prisoner's Dilemma, the dominant strategy of confessing leads to a suboptimal outcome for both players, highlighting the potential for cooperation to improve overall welfare
In the game of Chicken, there are no dominant strategies, but iterative elimination can be used to identify the Nash equilibria and analyze the strategic considerations of the players
Dominant strategies can help explain the behavior of firms in oligopolistic markets, such as the incentive to engage in price competition or quantity competition
Iterative elimination can be used to solve complex games and predict the outcomes of strategic interactions, such as in auctions or bargaining situations
Common Mistakes and Pitfalls
Failing to consider all possible strategies of the opponent when determining dominance
Confusing strict dominance with weak dominance, which can lead to incorrect conclusions about the rationality of strategies
Applying iterative elimination to games with no strictly dominated strategies, which will not result in any simplification of the game
Assuming that players will always choose their dominant strategy, even when other factors such as social norms or bounded rationality may influence their decisions
Neglecting the potential for multiple rounds of elimination when applying the iterative elimination process
Overrelying on dominant strategies and iterative elimination without considering other important aspects of the game, such as payoff structures and player preferences
Real-World Examples
In the game of rock-paper-scissors, there are no dominant strategies, as the optimal choice depends on the opponent's strategy
In a sealed-bid first-price auction, the dominant strategy is to bid slightly above the second-highest bidder's valuation to maximize the chances of winning while minimizing the price paid
In the game of chess, there are no dominant strategies due to the vast number of possible moves and the complexity of the game tree
In a two-candidate election with a majority voting rule, the dominant strategy for voters is to vote for their preferred candidate, as voting for the less-preferred candidate cannot improve the outcome
In the game of poker, bluffing can be a dominant strategy in certain situations, such as when the potential payoff of a successful bluff outweighs the cost of being called
Practice Problems
Consider the following payoff matrix for a two-player game:
Left
Right
Up
(2,1)
(0,0)
Down
(1,2)
(3,3)
Determine whether any player has a dominant strategy.
In a three-player game, Player 1 has strategies A and B, Player 2 has strategies C and D, and Player 3 has strategies E and F. The payoffs for each combination of strategies are as follows:
(A, C, E): (3, 2, 1)
(A, C, F): (2, 1, 3)
(A, D, E): (1, 3, 2)
(A, D, F): (4, 4, 4)
(B, C, E): (2, 3, 1)
(B, C, F): (1, 2, 3)
(B, D, E): (3, 1, 2)
(B, D, F): (0, 0, 0)
Use iterative elimination to solve the game and find the Nash equilibrium.
Suppose two firms, Firm A and Firm B, are deciding whether to invest in a new technology. The payoff matrix for their decisions is as follows:
Invest
Don't Invest
Invest
(2, 2)
(1, 3)
Don't Invest
(3, 1)
(0, 0)
Analyze the game using the concept of dominant strategies and determine the Nash equilibrium.