OK, I seem to vaguely understand how your decision theory works, but I don’t see how it implements M as a special case. You don’t mention source code inspection anywhere.
What matters is the decision (and its dependence on other facts). Source code inspection is only one possible procedure for obtaining information about the decision. The decision theory doesn’t need to refer to a specific means of getting that information. I talked about a related issue here.
Forgive me if I’m being dumb, but I still don’t understand. If two similar agents (not identical to avoid the clones argument) play the PD using your decision theory, how do they arrive at C,C? Even if agents’ algorithms are common knowledge, a naive attempt to simulate the other guy just falls into bottomless recursion as usual. Is the answer somehow encoded in “the most general precommitment”? What do the agents precommit to? How does Pareto optimality enter the scene?
OK, I seem to vaguely understand how your decision theory works, but I don’t see how it implements M as a special case. You don’t mention source code inspection anywhere.
What matters is the decision (and its dependence on other facts). Source code inspection is only one possible procedure for obtaining information about the decision. The decision theory doesn’t need to refer to a specific means of getting that information. I talked about a related issue here.
Forgive me if I’m being dumb, but I still don’t understand. If two similar agents (not identical to avoid the clones argument) play the PD using your decision theory, how do they arrive at C,C? Even if agents’ algorithms are common knowledge, a naive attempt to simulate the other guy just falls into bottomless recursion as usual. Is the answer somehow encoded in “the most general precommitment”? What do the agents precommit to? How does Pareto optimality enter the scene?