Would a “perfect implementation of Bayes”, in the sense you meant here, be a Solomonoff inductor (or similar, perhaps modified to work better with anthropic problems), or something perfect at following Bayesian probability theory but with no prior specified (or a less universal one)? If the former, you are in fact most of the way to an agent, at least some types of agents, e.g. AIXI.
Well, I’m not personally capable of building AI’s, and I’m not as deeply versed as I’m sure many people here are, but, I see an implementation of Bayes theorem as a tool for finding truth, in the mind of a human or an AI or whatever sort of person you care to conceive of / display, whereas the mind behind it is an agent with a quality we might called directedness, or intentionality, or simply an interest to go out and poke the universe with a stick where it doesn’t make sense. Bayes is in itself already math, easy to put into code, but we don’t understand internally directed behavior well enough to model it, yet.
Would a “perfect implementation of Bayes”, in the sense you meant here, be a Solomonoff inductor (or similar, perhaps modified to work better with anthropic problems), or something perfect at following Bayesian probability theory but with no prior specified (or a less universal one)? If the former, you are in fact most of the way to an agent, at least some types of agents, e.g. AIXI.
Well, I’m not personally capable of building AI’s, and I’m not as deeply versed as I’m sure many people here are, but, I see an implementation of Bayes theorem as a tool for finding truth, in the mind of a human or an AI or whatever sort of person you care to conceive of / display, whereas the mind behind it is an agent with a quality we might called directedness, or intentionality, or simply an interest to go out and poke the universe with a stick where it doesn’t make sense. Bayes is in itself already math, easy to put into code, but we don’t understand internally directed behavior well enough to model it, yet.