Thanks for the link to Galois connection. But why did you pick scenario 2? Can you give an example how such techniques would be useful in scenario 1?
You are making the situation worse for scenario 2, at least you give the source code for scenario 1. But yes, in general you'd want to not just give source code, but also a way of proving from that source code that it has certain properties (otherwise you are faced with halting problem/Rice theorem issues, and even more practical problems that halt you far short of those). It's easy for the explicit situation you describe in scenario 1, but worse in other cases.
In some cases, you don't really need an intermediary of explicit source code, you may just dire...
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?