Vladimir_Nesov comments on A Master-Slave Model of Human Preferences - Less Wrong

58 Post author: Wei_Dai 29 December 2009 01:02AM

You are viewing a comment permalink. View the original post to see all comments and the full post content.

Comments (80)

You are viewing a single comment's thread. Show more comments above.

Comment author: Vladimir_Nesov 29 December 2009 11:15:09PM *  1 point [-]

If the agent has a well-defined "predictive module" which has a "map" (probability distribution over the environment given an interaction history), and some "other stuff", then you can clamp the predictive module down to the truth, and then perform what I said before:

Yeah, maybe. But it doesn't.

Comment deleted 30 December 2009 02:21:34PM *  [-]
Comment author: Vladimir_Nesov 01 January 2010 04:44:24PM *  2 points [-]

I strongly agree with this: the problem that CEV is the solution to is urgent but it isn't elegant. Absolutes like "There isn't a beliefs/desires separation" are unhelpful when solving such inelegant but important problems.

One lesson of reductionism and success of simple-laws-based science and technology is that for the real-world systems, there might be no simple way of describing them, but there could be a simple way of manipulating their data-rich descriptions. (What's the yield strength of a car? -- Wrong question!) Given a gigabyte's worth of problem statement and the right simple formula, you could get an answer to your query. There is a weak analogy with misapplication of Occam's razor where one tries to reduce the amount of stuff rather than the amount of detail in the ways of thinking about this stuff.

In the case of beliefs/desires separation, you are looking for a simple problem statement, for a separation in the data describing the person itself. But what you should be looking for is a simple way of implementing the make-smarter-and-better extrapolation on a given pile of data. The beliefs/desires separation, if it's ever going to be made precise, is going to reside in the structure of this simple transformation, not in the people themselves.