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> AIXI now uses this model for approximately predicting the future and bases its decisions on these tentative forecasts. AIXI contemplates possible future behav

> AIXI now uses this model for approximately predicting the future and bases its decisions on these tentative forecasts. AIXI contemplates possible future behaviour: “If I do this action, followed by that action, etc, this or that will (un)likely happen, which could be good or bad. And if I do this other action sequence, it may be better or worse.” What I want to know, is how long does it spend doing this? Does the duration of one of these cycles have to be manually chosen, or is it smart enough/self-aware enough to realise, okay, if I spend forever thinking about something, then nothing will happen? I guess what I'm asking is, is the algorithm smart enough to eventually internalise its own model of itself?

adamwong246 13y ago
That's a really good question because a sense of self is integral to our definition of consciousness. Presumably this machine as able to understand math, so it should be able to comprehend it's own formula or source code.
jhealy 13y ago
Interesting question. I'm a developer for the linked site - if you're interested in posting the question in the comments I'll ping the author to see if he can answer.
sampo 13y ago
> "is the algorithm smart enough to eventually internalise its own model of itself?" As far as I understood, it's just random search for models ("For the planning component we use standard Monte Carlo"), and some kind of minimum description length (MDL) based method for model selection ("For the learning component we use standard file compression algorithms"). So the probability that it would, by Monte Carlo search, find a model that includes some kind of description for itself, I assume to be astronomically tiny. (...And even if it did, it would have no way to know that it has stumbled upon a model of itself. Except the experimental performance of the model, which could or could not be better than some other models and variations.)

adamwong246 13y ago

That's a really good question because a sense of self is integral to our definition of consciousness. Presumably this machine as able to understand math, so it should be able to comprehend it's own formula or source code.

jhealy 13y ago

Interesting question. I'm a developer for the linked site - if you're interested in posting the question in the comments I'll ping the author to see if he can answer.

sampo 13y ago

> "is the algorithm smart enough to eventually internalise its own model of itself?" As far as I understood, it's just random search for models ("For the planning component we use standard Monte Carlo"), and some kind of minimum description length (MDL) based method for model selection ("For the learning component we use standard file compression algorithms"). So the probability that it would, by Monte Carlo search, find a model that includes some kind of description for itself, I assume to be astronomically tiny. (...And even if it did, it would have no way to know that it has stumbled upon a model of itself. Except the experimental performance of the model, which could or could not be better than some other models and variations.)