Tit for tat
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Tit for tat is a highly effective strategy in game theory for the iterated prisoner's dilemma. It was first introduced by Anatol Rapoport in Robert Axelrod's two tournaments, held around 1980. Based on the English saying meaning "equivalent retaliation" ("tit for tat"), an agent using this strategy will initially cooperate, then respond in kind to an opponent's previous action. If the opponent previously was cooperative, the agent is cooperative. If not, the agent is not. This is equivalent to the concept of reciprocal altruism in the context of biology.
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[edit] Overview
This strategy is dependent on four conditions that has allowed it to become the most prevalent strategy for the Prisoner's Dilemma:
- Unless provoked, the agent will always cooperate
- If provoked, the agent will retaliate
- The agent is quick to forgive
- The agent must have a good chance of competing against the opponent more than once.
In the last condition, the definition of "good chance" depends on the payoff matrix of the prisoner's dilemma. The important thing is that the competition continues long enough for repeated punishment and forgiveness to generate a long-term payoff higher than the possible loss from cooperating initially.
A fifth condition applies to make the competition meaningful: if an agent knows that the next play will be the last, it should naturally defect for a higher score. Similarly if it knows that the next two plays will be the last, it should defect twice, and so on. Therefore the number of competitions must not be known in advance to the agents.
Against a variety of alternative strategies tit for tat was the most effective, winning in several annual automated tournaments against (generally far more complex) strategies created by teams of computer scientists, economists, and psychologists. Game theorists informally believed the strategy to be optimal (although no proof was presented).
It is important to know that tit for tat still is the most effective strategy if you compare the average performance of each competing team. The team which recently won over a pure tit for tat team only outperformed it with some of their algorithms because they submitted multiple algorithms which would recognize each other and assume a master and slave relationship (one algorithm would "sacrifice" itself and obtain a very poor result in order for the other algorithm to be able to outperform Tit for Tat on an individual basis, but not as a pair or group).
[edit] Example of play
| Cooperate | Defect | |
|---|---|---|
| Cooperate | 3, 3 | 0, 5 |
| Defect | 5, 0 | 1, 1 |
Assume there are 4 agents: 2 are Tit for Tat players ("variables") and 2 are "Defectors", simply trying to maximize their own winnings by always giving evidence against the other. Assume that each player faces the other 3 in a match lasting 6 games. If one player gives evidence against a player who does not, the former gains 5 points and the latter nets 0. If both refrain from giving evidence, both gain 3 points. If both give evidence against each other, both gain 1 point.
When a variable faces off against a defector, the former refrains from giving evidence in the first game while the defector does the opposite, gaining the control 5 points. In the remaining 5 games, both players give evidence against each other, netting 1 point each game. The final score is: Defector - 10 | Variable - 5.
When the variables face off against each other, each refrains from giving evidence in all 6 games. 6 * 3 = 18 points, the final score being Variable(1) - 18 | Variable(2) - 18.
When the defectors face off, each gives evidence against the other in all 6 games. 6 * 1 = 6 points, the final score being Defector(1) - 6 | Defector(2) - 6.
The final score for each variable is 5 (game against defector(1)) + 5 (game against defector(2)) + 18 (game against variable) = 28 points. The final score for each defector is 10 (againts variable(1)) + 10 (against variable(2)) + 6 (against defector) = 26 points.
Despite the fact that the variables never won a match and the defectors never lost a match, the variables still came out ahead, because the final score is not determined by the winner of matches, but the scorer of points. Simply put, the variables gained more points tying with each other than they lost to the defectors. The more variables that there are in the game, the more advantage it is to be a variable.
(This example was taken from Piers Anthony's novel, Golem in the Gears.)
[edit] Problems
While it has been empirically shown (by Axelrod) that the strategy is optimal in a perfect world, two agents playing tit for tat remain vulnerable. A one-time, single-bit error in either player's interpretation of events can lead to an unending "death spiral". In this symmetric situation, each side perceives itself as preferring to cooperate, if only the other side would. But each is forced by the strategy into repeatedly punishing an opponent who continues to attack despite being punished in every game cycle. Both sides come to think of themselves as innocent and acting in self-defense, and their opponent as either evil or too stupid to learn to cooperate.
This situation frequently arises in real world conflicts, ranging from schoolboy fights to civil and regional wars. Tit for two tats could be used to avoid this problem.
A slightly better strategy is "Tit for Tat with forgiveness". When the opponent defects, on the next move, the player sometimes cooperates anyway, with a small probability (around 1%-5%). This allows for occasional recovery from getting trapped in a cycle of defections. The exact probability depends on the line-up of opponents. "Tit for Tat with forgiveness" is best when miscommunication is introduced to the game — when one's move is incorrectly reported to the opponent.
[edit] Implications
The success of the strategy, which is largely cooperative, took many by surprise. In successive competitions various teams produced complex strategies which attempted to "cheat" in a variety of cunning ways, but Tit for Tat eventually prevailed in every competition.
Some theorists believe this result may give insight into how groups of animals (and particularly human societies) have come to live in largely (or entirely) cooperative societies, rather than the individualistic "red in tooth and claw" way that might be expected from individual engaged in a Hobbesian state of nature. This, and particularly its application to human society and politics, is the subject of Robert Axelrod's book The Evolution of Cooperation. Also the theory can give insight in how technological innovation have taken place in history, and in particular, why the modern age evolved in the many competing kingdoms of Europe, but not for example in China. This is further discussed in Robert Wright's book Nonzero: The Logic of Human Destiny.
[edit] Notes
[edit] References
- The Evolution of Cooperation, Robert Axelrod, Basic Books, ISBN 0-465-02121-2
- The Selfish Gene, Richard Dawkins (1990), second edition -- includes two chapters about the evolution of cooperation, ISBN 0-19-286092-5
- The Origins Of Virtue, Matt Ridley, Penguin Books Ltd, ISBN 0-14-024404-2
- How Are We to Live?, Peter Singer, Prometheus Books, ISBN 0-87975-966-6
[edit] See also
- Trigger strategy (a set of strategies of which tit for tat is a member)
- Iterated prisoner's dilemma
- Reciprocal altruism
- Hawk-Dove game
[edit] External links
- Wired magazine story about Tit for Tat being 'defeated' by a group of collaborating programs
- Explanation of Tit for tat on Australian Broadcasting Corporation
