I think I have some idea what he's talking about, but I didn't dig in to it in my response to him. — T Clark
Let me try again in even simpler terms using the concepts of computational processes.
The brain models a self~world relation. That is why consciousness feels like something - the something that is finding yourself as a self in its world.
This is all based on some embodied neural process. The brain has to be structured in ways that achieve this job. There is some kind of computational architecture. A data processing approach seems fully justified as the nervous system is built of neurons that simply "fire". And somehow this encodes all that we think, feel, see, smell, do.
Neuroscience started out with a model of the nervous system as a collection of reflex circuits - a Hebbian network of acquired habit. In neurobiology class, we all had to repeat Helmholtz's pioneering proof of how electrical stimulation of a dead frogs spinal nerve would make its leg twitch (and how electric shocks to a live rats feet could train it in Skinnerian conditioning fashion).
So psychology began as an exploration of this kind of meat machine. The mind was a set of neural habits that connected an organism to its world as a process of laying down a complexity of reaction pathways.
But then along comes Turing's theory of universal computation that reduces all human cognitive structure to a simple parable of symbol processing – the mechanics of a tape and gate information processing device. In contrast to a story of learnt neural habits that are biologically embodied, the idea of universal computation is deeply mathematical and as physically disembodied and Platonic as you can get.
But the computational metaphor took off. It took over cognitive psychology and philosophy of mind, especially once computer scientists got involved and it all became the great artificial intelligence scam of the 1970s/1980s. The mind understood as a symbol processing machine.
The computational paradigm boils down to a simple argument. Data input gets crunched into data output. Somehow information enters the nervous system, gets processed via a collection of specialised cognitive modules, and then all that results – hands starting to wave furiously at this point - in a consciously experienced display.
So good old fashioned cogsci builds in Cartesian dualism. Computationalism of the Turing machine kind can certainly transform mechanical inputs into mechanical outputs. But only in a disembodied syntactic sense. Semantics – being excluded from the start – are never recovered. If the organism functions as a computer, it can only be as a mindless and purposeless zombie.
But even while the symbol processing metaphor dominated the popular conception of how to think about neurobiology, the earlier embodied understanding of cognition puttered along in the background. Neural networkers, for example, continued to focus on machine architectures which might capture the essence of what brains actually do in relating a self to a world - the basic organismic or semiotic loop.
In data processing terms, you can recognise the flip. Instead of data in/data crunched/data outputted, the organismic version of a computational cycle is based on making a prediction that anticipates a state of input so that that input can be in fact cancelled away. The computational task is homeostatic – to avoid having to notice or learn anything new. The ideal is to be able to deal with the world at the level of already learnt and honed unthinking reflex. To simply assimilate the ever changing world into an untroubled flow of self.
Of course, life always surprises us in big and small ways. And we are able to pick that up quickly because we were making predictions about its most likely state. So we have a machinery of attentional mop-up that kicks in when the machinery of unthinking habit finds itself caught short.
But embodied cognition is the inverse of disembodied cognition. Instead of data input being turned into data output, it is data output being generated with enough precision to cancel away all the expected arriving data input.
For one paradigm, it is all about the construction of a state of mental display – with all the Cartesian dualism that results from that. For the other paradigm, it is all about avoiding needing to be "consciously" aware of the world by being so well adapted to your world that you already knew what was going to happen in advance.
Erasing information, forgetting events, not reacting in new ways. These are all the hallmarks of a well-adapted nervous system.
Of course, this biological realism runs completely counter to the standard cultural conception of mind and consciousness. And this is because humans are socially constructed creatures trying to run a completely different script.
It is basic to our sociology that we represent ourselves as brightly self-aware actors within a larger social drama. We have to be feeling all these feelings, thinking all these thoughts, to play the role of a "self-actualising, self-regulating, self-introspecting" human being.
We can't just go with the flow, as our biology is set up to do. We have to nurture the further habit of noticing everything about "ourselves" so that we can play the part of being an actor in a human drama. We have to be self-conscious of everything that might naturally just slip past and so actually create the disembodied Cartesian display that allows us to be selves watching selves doing the stuff that "comes naturally", then jumping in with guilt or guile to edit the script in some more socially approved manner.
So there is the neurobiology of mind which just paints a picture of a meat machine acquiring pragmatic habits and doing its level homeostatic best not to have to change, just go with its established flow.
And this unexciting conception of the human condition is matched with a social constructionist tradition in psychology that offers an equally prosaic diagnosis where everything that is so special about homo sapiens is just a new level of social semiosis – the extension of the habitual mind so that it becomes a new super-organismic level of unthinking, pragmatic, flow.
But no one writes best-sellers to popularise this kind of science. It is not the image of humanity that people want to hear about. Indeed, it would undermine the very machinery of popular culture itself – the Romantic and Enlightened conception of humans as Cartesian creatures. Half angel, half beast. A social drama of the self that you can't take your eyes off for a second.
So if you have set your task to be the one of understanding the science of the mind, then you can see how much cultural deprogramming you probably have to go through to even recognise what might constitute a good book to discuss.
But my rough summary is that circa-1900s, a lot of people were getting it right about cognition as embodied semiosis. Then from the 1950s, the science got tangled up in computer metaphors and ideology about cognition as disembodied mechanism. And from about 2000, there was a swing back to embodied cognition again. The enactive turn.
So you could chop out anything written or debated between the 1950s to 2000s and miss nothing crucial.
:razz: