Knowledge is created by an evolutionary process involving conjecture and refutation. By criticizing flaws in ideas, we seek to improve them (by making better conjectures we hope will eliminate the flaws).
I'm inclined to take this formula seriously, but I'd like to start by applying it to innate knowledge, knowledge we are born with, because here we are definitely talking about an evolutionary process involving mutation and natural selection. Some mutations add what amounts to a new innate conjecture (hypothesis, belief) into the cognitive architecture of the creature.
However, what occurs at this point is not that a creature with a false innate conjecture is eliminated. The creature isn't being tested purely against reality in isolation. It's being tested against other members of its species. The creature with the least-false, or least-perilously-false conjecture will tend to do better than the competitors. The competition for survival amounts to a competition between rival conjectures. The truest, or most-usefully-true, or least-wrong, or least-dangerously-wrong innate belief will tend to outdo its competitors and ultimately spread through the species. (With the odd usefully-wrong belief surviving.)
The occasional appearance of new innate conjectures resembles the conjecture part of Popperian conjecture and refutation. However, the contest between rival innate conjectures that occurs as the members of the species struggle against each other for survival seems less Popperian than Bayesian.
The relative success of the members of the species who carry the more successful hypothesis vaguely resembles Bayesian updating, because the winners increase their relative numbers and the losers decrease their relative numbers, which resembles the shift in the probabilities assigned to rival hypotheses that occurs in Bayesian updating. Consider the following substitutions applied to Bayes' formula:
P(H|E) = P(E|H)P(H) / P(E)
With these assignments, what the equation means is:
The new proportion of the species with H is equal to the old proportion of the species with H, times the expected number of offspring of members with H, divided by the expected number of offspring of the average member of the species.
One difference between this process and Bayesian updating is that this process allows the occasional introduction of new hypotheses over time, with what amounts to a modest but not vanishing initial prior.
I'm not sure if we're interested in the same stuff. But taking up one topic:
I think you regard innate/genetic ideas as important. I do not. Because people are universal knowledge creators, and can change any idea they start with, it doesn't matter very much.
The reason people are so biased is not in their genes but their memes.
There are two major replication strategies that memes use.
1) a meme can be useful and rational. it spreads because of its value
2) a meme can sabotage its holders creativity to prevent him from criticizing it, and to take away his choi...
I was directed to this book (http://www-biba.inrialpes.fr/Jaynes/prob.html) in conversation here:
http://lesswrong.com/lw/3ox/bayesianism_versus_critical_rationalism/3ug7?context=1#3ug7
I was told it had a proof of Bayesian epistemology in the first two chapters. One of the things we were discussing is Popper's epistemology.
Here are those chapters:
http://www-biba.inrialpes.fr/Jaynes/cc01p.pdf
http://www-biba.inrialpes.fr/Jaynes/cc02m.pdf
I have not found any proof here that Bayesian epistemology is correct. There is not even an attempt to prove it. Various things are assumed in the first chapter. In the second chapter, some things are proven given those assumptions.
Some first chapter assumptions are incorrect or unargued. It begins with an example with a policeman, and says his conclusion is not a logical deduction because the evidence is logically consistent with his conclusion being false. I agree so far. Next it says "we will grant that it had a certain degree of validity". But I will not grant that. Popper's epistemology explains that *this is a mistake* (and Jaynes makes no attempt at all to address Popper's arguments). In any case, simply assuming his readers will grant his substantive claims is no way to argue.
The next sentences blithely assert that we all reason in this way. Jaynes' is basically presenting the issues of this kind of reasoning as his topic. This simply ignores Popper and makes no attempt to prove Jaynes' approach is correct.
Jaynes goes on to give syllogisms, which he calls "weaker" than deduction, which he acknowledges are not deductively correct. And then he just says we use that kind of reasoning all the time. That sort of assertion only appeals to the already converted. Jaynes starts with arguments which appeal to the *intuition* of his readers, not on arguments which could persuade someone who disagreed with him (that is, good rational arguments). Later when he gets into more mathematical stuff which doesn't (directly) rest on appeals to intution, it does rest on the ideas he (supposedly) established early on with his appeals to intuition.
The outline of the approach here is to quickly gloss over substantive philosophical assumptions, never provide serious arguments for them, take them as common sense, do not detail them, and then later provide arguments which are rigorous *given the assumptions glossed over earlier*. This is a mistake.
So we get, e.g., a section on Boolean Algebra which says it will state previous ideas more formally. This briefly acknowledges that the rigorous parts depend on the non-rigorous parts. Also the very important problem of carefully detailing how the mathematical objects discussed correspond to the real world things they are supposed to help us understand does not receive adequate attention.
Chapter 2 begins by saying we've now formulated our problem and the rest is just math. What I take from that is that the early assumptions won't be revisted but simply used as premises. So the rest is pointless if those early assumptions are mistaken, and Bayesian Epistemology cannot be proven in this way to anyone who doesn't grant the assumptions (such as a Popperian).
Moving on to Popper, Jaynes is ignorant of the topic and unscholarly. He writes:
http://www-biba.inrialpes.fr/Jaynes/crefsv.pdf
> Karl Popper is famous mostly through making a career out of the doctrine that theories may not be proved true, only false
This is pure fiction. Popper is a fallibilist and said (repeatedly) that theories cannot be proved false (or anything else).
It's important to criticize unscholarly books promoting myths about rival philosophers rather than addressing their actual arguments. That's a major flaw not just in a particular paragraph but in the author's way of thinking. It's especially relevant in this case since the author of the books tries to tell us about how to think.
Note that Yudkowsky made a similar unscholarly mistake, about the same rival philosopher, here:
http://yudkowsky.net/rational/bayes
> Previously, the most popular philosophy of science was probably Karl Popper's falsificationism - this is the old philosophy that the Bayesian revolution is currently dethroning. Karl Popper's idea that theories can be definitely falsified, but never definitely confirmed
Popper's philosophy is not falsificationism, it was never the most popular, and it is fallibilist: it says ideas cannot be definitely falsified. It's bad to make this kind of mistake about what a rival's basic claims are when claiming to be dethroning him. The correct method of dethroning a rival philosophy involves understanding what it does say and criticizing that.
If Bayesians wish to challenge Popper they should learn his ideas and address his arguments. For example he questioned the concept of positive support for ideas. Part of this argument involves asking the questions: 'What is support?' (This is not asking for its essential nature or a perfect definition, just to explain clearly and precisely what the support idea actually says) and 'What is the difference between "X supports Y" and "X is consistent with Y"?' If anyone has the answer, please tell me.