'Tit for Tat' Defeated In Prisoner's Dilemma Challenge
colonist writes "Tit for Tat, the reigning champion of the Iterated Prisoner's Dilemma Competition, has been defeated by a group of cooperating programs from the University of Southampton. The Prisoner's Dilemma is a game with two players and two possible moves: cooperate or defect. If the two players cooperate, they both have small wins. If one player cooperates and the other defects, the cooperator has a big loss and the defector has a big win. If both players defect, they both have small losses. Tit for Tat cooperates in the first round and imitates its opponent's previous move for the rest of the game. Tit for Tat is similar to the Mutual Assured Destruction strategy used by the two nuclear superpowers during the Cold War. Southampton's programs executed a known series of 5 to 10 moves which allowed them to recognize each other. After recognition, the two Southampton programs became 'master and slave': one program would keep defecting and the other would keep cooperating. If a Southampton program determined that another program was non-Southampton, it would defect."
Update: 10/14 15:08 GMT by J : If anyone wants to try writing their own PD strategy and see how it fares in a Darwinian contest, I'll host a tournament of Slashdot readers. Here are the docs, sample code, notes on previous runs, and my email address.
In other words, an in-group can work vs. tit for tat if it outnumbers it. I'd like to see a trial with a slow trickle of immigration of tit for tats into a large population of S/M programs. That might be illuminating. I suspect the outcome would be that tit for tat still does well.
What we call folk wisdom is often no more than a kind of expedient stupidity.-Edward Abbey
I mean, the whole point of the Prisoner's Dilemma is that you don't have all the information. You don't know what your partner/opponent is going to do and you have decide based entirely on what little information you have based on your history with your partner/opponent. What these people are doing is creating a pattern to be recognized by another player, and then working as a team. And, it's not like they're people where one person might change their mind and decide to defect unilaterally... they're programs. Once they've locked onto each other as the same program, that's it. They'll play to their advantage until the end.
The real trick is to find a program that can beat other DIFFERENT programs, not beat itself. This seems really stupid, or am I missing something?
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RumorsDaily
This seems to me to be an unfair way to "win." The point of the PD simulation is to talk about whether, in the absence of any social consequences, it is better to screw someone over for money or to work cooperatively with them. It's not a perfect model for that question, but that is still the question that makes us care about the PD in the first place.
All this has done is make a meta-PD game in which the two programs create a meta-game in which they agree to cooperate. That is to say, this is a solution to the PD problem that relies on the cooperation of a cohort (Someone to keep choosing loyalty while you defect and get all the money). Which is exactly not the point of PD.
So the real headline, I think, is "Trivial flaw found in definition of Prisoner's Dillema problem. University of Southhampton wastes money demonstrating flaw instead of writing a goddamn paper like a normal person would."
Philip Sandifer's academic website
Not precisely cheating, as the rules are set up to play this way...but this certainly violates the spirit of the original Prisoner's Dilemma. Why?
Real prisoners only get to choose ONCE.
By taking advantage of the multiple-iteration aspect of the simulation with this sort of 'portknocking' strategy, the winning programs kind of take a cheap shot at the original PD.
Of course, it's all hypothetical anyway, and come to think of it Tit For Tat technically takes advantage of the multiple-iteration aspect as well by doing whatever the opponent did the last time...
Ah well, at least the Wikipedia entry makes a distinction between regular "Prisoner's Dilemma" and "Iterated Prisoner's Dilemma".
It is easy to score better than Tit-for-Tat in Axelrod's (original) tournament. He included a program that played random moves. It is not difficult to recognise this program after, say, ten moves have been played. You can always defect against random, because its moves are unrelated to its history. So, a program that plays Tit-for-Tat by default, but always defects against Random, scores better than Tit-for-Tat.
Does this dillute Tit-for-Tat's accomplishment? Of course not. Tit-for-Tat still plays well. And it is such a simple strategy that it can be programmed in two lines ("C on move 1, then copy opponent's previous move"), which none of the other programs achieve. Tit-for-Tat is simple, elegant, and strong. It's beautiful.
Southamptom entries, on the other hand, are complex, sneaky, and cheating against (perhaps unwritten, but nonetheless agreed-upon) rules. They're ugly. They only prove that backstabbing cheating bastards may defeat just-and-fair if the referee is looking the other way for a moment.
Once I experimented with letting the agents recognize which "species" they were in and which "species" their opponent was. The runaway winner, of course, was the one which always cooperated with itself, and was less nice to every other species. (In my version, "less nice" meant playing Tit-For-Tat, but the idea's the same.)
Being able to do this is like having the teacher's edition. If recognizing which species other agents belong to is allowed, that's a pretty trivial strategy. It's not called cooperation. It's called xenophobia, or to put it into the most familiar anthropomorphization, racism.
(The life lesson, if I may go out on a limb, is that in an environment where some recognize a quality called "race" and discriminate based on it, being unable to see that quality is a liability. Being truly color-blind means you are unable to recognize not only race but racism, which means you will be taken advantage of.)
When I ran my first tournament and got some interesting results based on this, I realized that knowledge of what "species" an agent belongs to is too powerful, it throws a monkey wrench into the works. So I scrapped it and moved on to stuff I found more interesting.
But the winner of this PD tournament was even craftier; he submitted a ton of entries, all of which were xenophobic in this way, except that they all recognized one "species" as the top dog. The other "species" essentially committed suicide to give the highest score to the top dog. That wouldn't have worked in my tournament, since they literally would have committed suicide (my agents starve to death if they don't score high enough) and that would have shaped the resulting environment. Every tournament is artificial in some way, and the human submitting entries to this one was clever enough to take advantage of these particular artificialities.
Since it's now been shown that inter-agent communication is possible, that's going to be fair game for every tournament from now on. The next step is going to be designing tournaments to work with this trick, not against it. As I wrote to this tournament's organizers:
As a microbiologist with interest in evolution, I have followed this field from afar for years. Looking over the results, I was surprised at how relatively poorly "Pavlov" (win-stay lose-shift) did, since it performs so strongly in noisy, evolutionany, versions of the game. [see:c gi?hold ing=npg&cmd=Retrieve&db=PubMed&list_uids=8316296&d opt=Abstract
http://www.ncbi.nlm.nih.gov/entrez/query.f
It was also a bit dismaying to see how well "Grim" (hold a grudge forever) did in both games. In evolutionary versions of the game, Pavlov helps keep down the population of "suckers" (thereby decreasing the food supply for more predatory and parasitic strategies) while still rewarding "provokable" cooperators (thereby increasing the total aggregate "reward" of the ecosystem.
Also, one essential part of the payoff structure that deserves emphasis is that the payoff for cooperating has to be more than half the average of the winner and loser's payoff for defection, else one benefits by simply alternating each turn. This is a little bit like the winners did here, where they got the top spots at the cost of a lower total take for their "team". One real world example of slashdot interest where this might make sense is if you take these losses in order to eliminate your rivals from the game and then reap monopoly benefits once you control the game (not to mention any names...).
Maybe someone who has analyzed the results in more detail could comment on how the various well known strategies fared and why.