As I explained in the post, dog genes contain behavioural algorithms pre-programmed by evolution. The algorithms have some flexibility—akin to parameter tuning—and the knowledge contained in the algorithms is general purpose enough so it can be tuned for dogs to do things like open boxes. So it might look like the book is learning something but the knowledge was created by biological evolution, not the individual dog. The knowledge in the dog’s genes is an example of what Popper calls knowledge without a knowing subject. Note that all dogs have approximately the same behavioural repertoire. They are kind of like characters in a video game. Some boxes a dog will never open, though a human will learn to do it.
A child is a UKC so when a child learns to open a box, the child creates new knowledge afresh in their own mind. It was not put there by biological evolution. A child’s knowledge of box-opening will grow, unlike a dog’s, and they will learn to open boxes in ways a dog never can. And different children can be very different in terms of what they know how to do.
dog genes contain behavioural algorithms pre-programmed by evolution
Some orcas hunt seal pups by temporarily stranding themselves on the beaches in order to reach their prey. Is that behaviour programmed in their genes? The genes of all orcas?
The problem is that very very few orcas do that—only two pods in the world, as far as we know. Orcas which live elsewhere (e.g. the Pacific Northwest orcas which are very well-observed) do not do anything like this. Moreover, there is evidence that the technique is taught by adults to juvenile orcas. See e.g .here or here.
genetic algorithms often write and later read data, just like e.g. video game enemies. your examples are irrelevant b/c you aren’t addressing the key intellectual issues. this example also adds nothing new over examples that have already been addressed.
you are claiming it’s a certain kind of writing and reading data (learning) as opposed to other kinds (non-learning), but aren’t writing or referencing anything which discusses this matter. you present some evidence as if no analysis of it was required, and you don’t even try to discuss the key issues. i take it that, as with prior discussion, you’re simply ignorant of what the issues are (like you simply take an unspecified common sense epistemology for granted, rather than being able to discuss the field). and that you won’t want to learn or seriously discuss, and you will be hostile to the idea that you need a framework in which to interpret the evidence (and thus go on using your unquestioned framework that is one of the cultural defaults + some random and non-random quirks).
genetic algorithms often write and later read data, just like e.g. video game enemies
Huh? First, the expression “genetic algorithms” doesn’t mean what you think it means. Second, I don’t understand the writing and reading data part. Write which data to what substrate?
your examples are irrelevant b/c you aren’t addressing the key intellectual issues
I like dealing with reality. You like dealing with abstractions in your head. We talked about this—we disagree. You know that.
But if you are uninterested in empirical evidence, why bother discussing it at all?
you won’t want to learn or seriously discuss
Yes, I’m not going to do what you want me to do. You know that as well.
you will be hostile to the idea that you need a framework in which to interpret the evidence
I will be hostile to the idea that I need your framework to interpret the evidence, yes. You know that, too.
People are overly impressed by things that animals can do such as dogs opening doors and think the only explanation is that they must be learning. Conversely, people think children being good at something means they have an in-born natural talent. The child is doing something way more remarkable than the dog but does not get to take credit. The dog does.
As I explained in the post, dog genes contain behavioural algorithms pre-programmed by evolution. The algorithms have some flexibility—akin to parameter tuning—and the knowledge contained in the algorithms is general purpose enough so it can be tuned for dogs to do things like open boxes. So it might look like the book is learning something but the knowledge was created by biological evolution, not the individual dog. The knowledge in the dog’s genes is an example of what Popper calls knowledge without a knowing subject. Note that all dogs have approximately the same behavioural repertoire. They are kind of like characters in a video game. Some boxes a dog will never open, though a human will learn to do it.
A child is a UKC so when a child learns to open a box, the child creates new knowledge afresh in their own mind. It was not put there by biological evolution. A child’s knowledge of box-opening will grow, unlike a dog’s, and they will learn to open boxes in ways a dog never can. And different children can be very different in terms of what they know how to do.
This argument seems chosen to make it utterly unfalsifiable.
If someone provides examples of animal X solving novel problems in creative ways you can just say “that’s just the ‘some flexibility’ bit”
It’s also rank nonsense—this bit in particular:
Some orcas hunt seal pups by temporarily stranding themselves on the beaches in order to reach their prey. Is that behaviour programmed in their genes? The genes of all orcas?
yes that’d be my first guess – that it’s caused by something in the gene pool of orcas. why not? and what else would it be?
The problem is that very very few orcas do that—only two pods in the world, as far as we know. Orcas which live elsewhere (e.g. the Pacific Northwest orcas which are very well-observed) do not do anything like this. Moreover, there is evidence that the technique is taught by adults to juvenile orcas. See e.g .here or here.
genetic algorithms often write and later read data, just like e.g. video game enemies. your examples are irrelevant b/c you aren’t addressing the key intellectual issues. this example also adds nothing new over examples that have already been addressed.
you are claiming it’s a certain kind of writing and reading data (learning) as opposed to other kinds (non-learning), but aren’t writing or referencing anything which discusses this matter. you present some evidence as if no analysis of it was required, and you don’t even try to discuss the key issues. i take it that, as with prior discussion, you’re simply ignorant of what the issues are (like you simply take an unspecified common sense epistemology for granted, rather than being able to discuss the field). and that you won’t want to learn or seriously discuss, and you will be hostile to the idea that you need a framework in which to interpret the evidence (and thus go on using your unquestioned framework that is one of the cultural defaults + some random and non-random quirks).
Huh? First, the expression “genetic algorithms” doesn’t mean what you think it means. Second, I don’t understand the writing and reading data part. Write which data to what substrate?
I like dealing with reality. You like dealing with abstractions in your head. We talked about this—we disagree. You know that.
But if you are uninterested in empirical evidence, why bother discussing it at all?
Yes, I’m not going to do what you want me to do. You know that as well.
I will be hostile to the idea that I need your framework to interpret the evidence, yes. You know that, too.
You need any framework, but never provided one. I have a written framework, you don’t. GG.
LOL. You keep insisting that people have to play by your rules but really, they don’t.
You can keep inventing your own games and declaring yourself winner by your own rules, but it doesn’t look like a very useful activity to me.
People are overly impressed by things that animals can do such as dogs opening doors and think the only explanation is that they must be learning. Conversely, people think children being good at something means they have an in-born natural talent. The child is doing something way more remarkable than the dog but does not get to take credit. The dog does.