Let's introduce a time limit. Say that after a maximum of S computations (i.e., computation steps using some standardized notion) have passed, each player is forced to make a decision.
Now, write a program that is opaque to introspection: to find out what it decides (i.e. to COOPERATE or DEFECT) , it must be simulated until it halts. This program could use cryptography or other obsfuscation systems (random numbers would be useful). Engineer this program so that it take exactly S steps to run to completion.
The simulating player does not have time to both simulate and interpret the results of its simulation.
Seemingly, restricting all machines to the same time limit serves to reduce the efficacy of many (all?) of these adversarial simulation strategies.
In the second scenario we can, losing a little generality, prohibit obfuscation by accepting only programs already organized as decision graphs (possible nodes: throw dice and branch; simulate opponent and branch; cooperate; defect). The problem stays meaningful because programs have no access to each other's source and must resort to simulation. Maybe the problem thus formulated has a trivial solution, but I don't see it yet.
The Prisoner's Dilemma has been discussed to death here on OB/LW, right? Well, here's a couple new twists to somewhat... uh... expand the discussion.
Warning: programming and math ahead.
Scenario 1
Imagine a PD tournament between programs that can read each other's source code. In every match, player A receives the source code of player B as an argument, and vice versa. Matches are one-shot, not iterated.
In this situation it's possible to write a program that's much better than "always defect". Yes, in an ordinary programming language like C or Python, no futuristic superintelligent oracles required. No, Rice's theorem doesn't cause any problems.
Here's an outline of the program:
Some features of this program:
Other authors now have an incentive to include PREFIX in their programs, moving their original logic into the "anythingElse" subroutine. This modification has no downside.So, introducing such a program into the tournament should lead to a chain reaction until everyone cooperates. Unless I've missed something. What say ye?Edit: the last point and the conclusion were wrong. Thanks to Warrigal for pointing this out.
Scenario 2
Now imagine another tournament where programs can't read each other's source code, but are instead given access to a perfect simulator. So programs now look like this:
and can call simulator.simulate(ObjectCode a, ObjectCode b) arbitrarily many times with any arguments. To give players a chance to avoid bottomless recursion, we also make available a random number generator.
Problem: in this setting, is it possible to write a program that's better than "always defect"?
The most general form of a reasonable program I can imagine at the moment is a centipede:
Exercise 1: when (for what N and pi) does this program cooperate against itself? (To cooperate, the recursive tree of simulations must terminate with probability one.)
Exercise 2: when does this program win against a simple randomizing opponent?
Exercise 3: what's the connection between the first two exercises, and does it imply any general theorem?
Epilogue
Ordinary humans playing the PD othen rely on assumptions about their opponent. They may consider certain invariant properties of their opponent, like altruism, or run mental simulations. Such wetware processes are inherently hard to model, but even a half-hearted attempt brings out startling and rigorous formalizations instead of our usual vague intuitions about game theory.
Is this direction of inquiry fruitful?
What do you think?