= 27d567bc2d48d9f40e9ccc20ea370b15)
Vladimir_Nesov comments on Decision Theories: A Less Wrong Primer - Less Wrong
You are viewing a comment permalink. View the original post to see all comments and the full post content.
= 783df68a0f980790206b9ea87794c5b6)
Loading…= b715d02e85f7b3b4ae65ca3d3e450868)
Subscribe to RSS Feed
Powered by Reddit
= f037147d6e6c911a85753b9abdedda8d)
You are viewing a comment permalink. View the original post to see all comments and the full post content.
Comments (172)
But how does one identify/encode a physical fact? With a logical fact you can say "Program with source code X outputs Y" and then deduce consequences from that. I don't see what the equivalent is with a "physical" notion of decision. Is the agent supposed to have hard-coded knowledge of the laws of physics and its spacetime coordinates (which would take the place of knowledge of its own source code) and then represent a decision as "the object at coordinate X in the universe with laws Y and initial conditions Z does A"? That seems like a much less elegant and practical solution to me. And you're still using it as a logical fact, i.e., deducing logical consequences from it, right?
I feel like you must be making a point that I'm not getting...
The same way you find a way home. How does that work? Presumably only if we assume the context of a particular collection of physical worlds (perhaps with selected preferred approximate location). Given that we're considering only some worlds, additional information that an agent has allows it to find a location within these worlds, without knowing the definition of those worlds.
This I think is an important point, and it comes up frequently for various reasons: to usefully act or reason, an agent doesn't have to "personally" understand what's going on, there may be "external" assumptions that enable an agent to act within them without having access to them.