In addition to Evan’s answer (with which I agree), I want to make explicit an assumption I realized after reading your last paragraph: we assume that the causal graph is the final result of the LCDT agent consulting its world model to get a “model” of the task at hand. After that point (which includes drawing causality and how the distributions impacts each other, as well as the sources’ distributions), the LCDT agent only decides based on this causal graph. In this case it cuts the causal links to agent and then decide CDT style.
None of this result in an incoherent world model because the additional knowledge that could be used to realize that the cuts are not “real”, is not available in the truncated causal model, and thus cannot be accessed while making the decision.
I honestly feel this is the crux of our talking past each other (same with Joe) in the last few comments. Do you think that’s right?
In addition to Evan’s answer (with which I agree), I want to make explicit an assumption I realized after reading your last paragraph: we assume that the causal graph is the final result of the LCDT agent consulting its world model to get a “model” of the task at hand. After that point (which includes drawing causality and how the distributions impacts each other, as well as the sources’ distributions), the LCDT agent only decides based on this causal graph. In this case it cuts the causal links to agent and then decide CDT style.
None of this result in an incoherent world model because the additional knowledge that could be used to realize that the cuts are not “real”, is not available in the truncated causal model, and thus cannot be accessed while making the decision.
I honestly feel this is the crux of our talking past each other (same with Joe) in the last few comments. Do you think that’s right?