Tag Archives: brain

Failed States (part 3)

This ends an arc of exploration of a Combinatorial-State Automata (CSA), an idea by philosopher and cognitive scientist David Chalmers — who despite all these posts is someone whose thinking I regard very highly on multiple counts. (The only place my view diverges much from his is on computationalism, and even there I see some compatibility.)

In the first post I looked closely at the CSA state vector. In the second post I looked closely at the function that generates new states in that vector. Now I’ll consider the system as a whole, for it’s only at this level that we actually seek the causal topology Chalmers requires.

It all turns on how much matching abstractions means matching systems.

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Failed States (part 2)

This is a continuation of an exploration of an idea by philosopher and cognitive scientist David Chalmers — the idea of a Combinatorial-State Automata (CSA). I’m trying to better express ideas I first wrote about in these three posts.

The previous post explored the state vector part of a CSA intended to emulate human cognition. There I described how illegal transitory states seem to violate any isomorphism between mental states in the brain and the binary numbers in RAM locations that represent them. I’ll return to that in the next post.

In this post I want to explore the function that generates the states.

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Failed States (part 1)

Last month I wrote three posts about a proposition by philosopher and cognitive scientist David Chalmers — the idea of a Combinatorial-State Automata (CSA). I had a long debate with a reader about it, and I’ve pondering it ever since. I’m not going to return to the Chalmers paper so much as focus on the CSA idea itself.

I think I’ve found a way to express why I see a problem with the idea. I’m going to have another go at explaining it. The short version turns on how mental states transition from state to state versus how a computational system must handle it (even in the idealized Turing Machine sense — this is not about what is practical but about what is possible).

“Once more unto the breach, dear friends, once more…”

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Chalmers Again

Over the last few days I’ve found myself once again carefully reading a paper by philosopher and cognitive scientist, David Chalmers. As I said last time, I find myself more aligned with Chalmers than not, although those three posts turned on a point of disagreement.

This time, with his paper Facing Up to the Problem of Consciousness (1995), I’m especially aligned with him, because the paper is about the phenomenal aspects of consciousness and doesn’t touch on computationalism at all. My only point of real disagreement is with his dual-aspects of information idea, which he admits is “extremely speculative” and “also underdetermined.”

This post is my reactions and responses to his paper.

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Octopus Brains

I’ve long been fascinated by stories about octopuses. I confess I’ve eaten a few, too, and it’s obviously a worse than eating dog, which I could never. (OTOH, properly done calamari is really yummy!)

It’s not just that octopuses (and it is octopuses, by the way; the root is Greek, not Latin) are jaw-dropping smart. It’s that their intelligence operates in a completely different brain than ours — an evolutionary branch that considerably predates the dinosaurs. It isn’t just the top brain and eight satellite brains; it’s that their entire body, in some sense, and especially their skin, is their brain.

Check out this 13-minute TED Talk by marine biologist Roger Hanlon:

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Intentional States

This is what I imagined as my final post discussing A Computational Foundation for the Study of Cognition, a 1993 paper by philosopher and cognitive scientist David Chalmers (republished in 2012). The reader is assumed to have read the paper and the previous two posts.

This post’s title is a bit gratuitous because the post isn’t actually about intentional states. It’s about system states (and states of the system). Intention exists in all design, certainly in software design, but it doesn’t otherwise factor in. I just really like the title and have been wanting to use it. (I can’t believe no one has made a book or movie with the name).

What I want to do here is look closely at the CSA states from Chalmers’ paper.

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Algorithmic Causality

This continues my discussion of A Computational Foundation for the Study of Cognition, a 1993 paper by philosopher and cognitive scientist David Chalmers (republished in 2012). The reader is assumed to have read the paper and the previous post.

I left off talking about the differences between the causality of the (human) brain versus having that “causal topology” abstractly encoded in an algorithm implementing a Mind CSA (Combinatorial-State Automata). The contention is that executing this abstract causal topology has the same result as the physical system’s causal topology.

As always, it boils down to whether process matters.

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Causal Topology

I’ve always liked (philosopher and cognitive scientist) David Chalmers. Of those working on a Theory of Mind, I often find myself aligned with how he sees things. Even when I don’t, I still find his views rational and well-constructed. I also like how he conditions his views and acknowledges controversy without disdain. A guy I’d love to have a beer with!

Back during the May Mind Marathon, I followed someone’s link to a paper Chalmers wrote. I looked at it briefly, found it interesting, and shelved it for later. Recently it popped up again on my friend Mike’s blog, plus my name was mentioned in connection with it, so I took a closer look and thought about it…

Then I thought about it some more…

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The Giant File Room

After a weekend of transistorized baseball, it’s time to get back to wandering through pondering consciousness. I laid down a few cobblestones last week; time to add a few more to the road. Eventually I’ll have something on which I can drive an argument.

There are a number of classic, or at least well-known, arguments for and against computationalism. They variously involve Pixies, different kinds of Zombies, people trapped in different kinds of rooms, and rock walls that compute. (In fact, they compute rooms that trap Pixies. And everything else.)

Today I’m going to ruminate on the world’s most unfortunate file clerk.

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What is Consciousness?

When it comes to consciousness, one of the top challenges is defining what it is. (Some insist it doesn’t even exist, which makes defining it even more of a challenge.) Part of the problem is that there is no single correct definition. There never really has been.

There is also that there is sentience (essentially the ability to feel pain as pain) and there is sapience (roughly: wisdom). Lots of animals are sentient, but sapience seems to be a property of human consciousness.

Which raises the question: Are humans just a point on a spectrum, or is there some sort of “band gap” between higher and lower forms?

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