I have sympathy with both one-boxers and two-boxers in Newcomb's problem. Contrary to this, however, many people on Less Wrong seem to be staunch and confident one-boxers. So I'm turning to you guys to ask for help figuring out whether I should be a staunch one-boxer too. Below is an imaginary dialogue setting out my understanding of the arguments normally advanced on LW for one-boxing and I was hoping to get help filling in the details and extending this argument so that I (and anyone else who is uncertain about the issue) can develop an understanding of the strongest arguments for one-boxing.
Time is irrelevant to the two-boxer except as a proof of causal independence so there's no interesting answer to this question. The two-boxer is concerned with causal independence. If a decision cannot help but causally influence the brain scan then the two-boxer would one-box.
Two-boxers use a causal model where your current brain state has causal influence on your future decisions. They are interested in the causal effects of the decision not the brain state and hence the causal independence criterion does distinguish the cases in their view and they need not appeal to time.
They have the right causal model. They just disagree about which downstream causal effects we should be considering.
No-one denies this. Everyone agrees about what the best program is. They just disagree about what this means about the best decision. The two-boxer says that unfortunately the best program leads us to make a non-optimal decision which is a shame (but worth it because the benefits outweigh the cost). But, they say, this doesn't change the fact that two-boxing is the optimal decision (while acknowledging that the optimal program one-boxes).
I suspect that different two-boxers would respond differently as anthropic style puzzles tend to elicit disagreement.
Well, they're saying that the optimal algorithm is a one-boxing algorithm while the optimal decision is two-boxing. They can explain why as well (algorithms have different causal effects to decisions). There is no immediate contradiction here (it would take serious argument to show a contradiction like, for example, an argument showing that decisions and algorithms are the same thing). For example, imagine a game where I choose a colour and then later choose a number between 1 and 4. With regards to the number, if you pick n, you get $n. With regards to the colour, if you pick red, you get $0, if you pick blue you get $5 but then don't get a choice about the number (you are presumed to have picked 1). It is not contradictory to say that the optimal number to pick is 1 but the optimal colour to pick is blue. The two-boxer is saying something pretty similar here.
What "ought" you do, according to the two-boxer. Well that depends what decision you're facing. If you're facing a decision about what algorithm to adopt, then adopt the optimal algorithm (which one-boxers on all future versions of NP though not ones where the prediction has occurred). If you are not able to choose between algorithms but are just choosing a decision for this occasion then choose two-boxing. They do not give contradictory advice.
Taboo "optimal".
The problem here is that this "optimal" doesn't cash out to anything in terms of real world prediction, which means it's alberzle vs. bargulum all over again. A and B don't disagree about predictions of what will happen in the world, meaning they are only disagreeing over which definition of a word to use.
In this context, a two boxer has to have some definition of "optimal" that doesn't cash out the same as LWers cash out that word. Because our definition is based on what ... (read more)