A huge strength of Bayesian epistemology is that it tells me how to program computers to form accurate beliefs. Has Popperian epistemology guided the development of any computer program as awesome as Gmail’s spam filter?
Bayesian epistemology didn’t do that. Bayes’ theorem did.
Bayes’ theorem is part of probability theory. Bayesian epistemology essentially says to take probability theory seriously as a normative description of degrees of belief.
If you don’t buy that and really want to split the hair, then I am willing to modify my question to: Has the math behind Popperian epistemology guided the development of any computer program as awesome as Gmail’s spam filter? (Is there math behind Popperian epistemology?)
gmail’s spam filter does not have degrees of belief or belief.
It has things which you could call by those words if you really wanted to. But it wouldn’t make them into the same things those words mean when referring to people.
But it wouldn’t make them into the same things those words mean when referring to people.
I want the program to find the correct belief, and then take good actions based on that correct belief. I don’t care if lacks the conscious experience of believing.
You are disputing definitions and ignoring my actual question. Your next reply should answer the question, or admit that you do not know of an answer.
gmail’s spam filter does not have degrees of belief or belief.
It has things which you could call by those words if you really wanted to. But it wouldn’t make them into the same things those words mean when referring to people.
Augh, this reminded me of a quote that I can’t seem to find based on my tentative memory of its component words… it was something to the effect that we anthropomorphize computers and talk about them “knowing” things or “communicating” with each other, and some people think that’s wrong and they don’t really do those things, and the quote-ee was of the opinion that computers were clarifying what we meant by those concepts all along. Anybody know what I’m talking about?
A huge strength of Bayesian epistemology is that it tells me how to program computers to form accurate beliefs. Has Popperian epistemology guided the development of any computer program as awesome as Gmail’s spam filter?
Bayesian epistemology didn’t do that. Bayes’ theorem did. See the difference?
Bayes’ theorem is part of probability theory. Bayesian epistemology essentially says to take probability theory seriously as a normative description of degrees of belief.
If you don’t buy that and really want to split the hair, then I am willing to modify my question to: Has the math behind Popperian epistemology guided the development of any computer program as awesome as Gmail’s spam filter? (Is there math behind Popperian epistemology?)
gmail’s spam filter does not have degrees of belief or belief.
It has things which you could call by those words if you really wanted to. But it wouldn’t make them into the same things those words mean when referring to people.
I want the program to find the correct belief, and then take good actions based on that correct belief. I don’t care if lacks the conscious experience of believing.
You are disputing definitions and ignoring my actual question. Your next reply should answer the question, or admit that you do not know of an answer.
Augh, this reminded me of a quote that I can’t seem to find based on my tentative memory of its component words… it was something to the effect that we anthropomorphize computers and talk about them “knowing” things or “communicating” with each other, and some people think that’s wrong and they don’t really do those things, and the quote-ee was of the opinion that computers were clarifying what we meant by those concepts all along. Anybody know what I’m talking about?
To be clear, I think computers can do those things and AIs will, and that will help clarify the concepts a lot.
But I don’t think that microsoft word does it. Nor any game “AI” today. Nor gmail’s spam filter which just does mindlessly math.