Simple circuits can create complex behaviors
aatishb.com220 points by aatish 4 days ago
220 points by aatish 4 days ago
The ancestor is not Braitenberg. It's Grey Walter's turtles.
In 1948, W. Grey Walter built two simple robots that could sense light and touch.[1] Much complex behavior emerged. That's where this idea started.
Watch the video.[2] It's very impressive for 1948 and tube technology. If you've seen an original Roomba, you've seen a similar level of intelligence. Rod Brooks went down this road. But it didn't go very far. There are severe limits to purely reactive robotics. It doesn't work well for anything that moves fast enough that inertia matters.
It’s very odd that Braitenberg didn’t cite Walter’s precedent in ‘Vehicles’. He very likely knew about Walter, Ashby’s homeostat, etc, and used the cybernetics terminology in some of his work.
Fun historical note: the linked newsreel film was known about but unseen for a long time, then found by Owen Holland in the BBC Bristol archive around 1999. Either Owen or I sent it to Rod, to great enjoyment.
Film includes operator-moves-trashcan-with-foot, a staple of mobile robot clips ever since.
See also: https://cyberneticzoo.com/cyberneticanimals/1969-the-logo-tu... In my gifted & talented class in the 80's we were introduced to computers and I remember seeing the picture of "Irving" and thinking "Wow, I should learn LOGO to program robots when I grow up" (unfortunately, recursion scared me so I switched to BASIC and later assembly).
Thank you - also came to comment on Elmer and Elise being the precursor long ago.
Walter himself mentioned the perceived complexity of a simple system to the observer, stating it "might be accepted as evidence of some degree of self-awareness."
Grey Walter also wrote The Living Brain in 1953. It's a fascinating window into the state of brain science and robotics around that time.
The Soviets allegedly used the same principle to make cheap single sensor missile seeker heads.
Two DOF: two sensors?
If the missile is spinning, you can do it with one. The original Sidewinder air to air missile worked that way.
And now the name 'sidewinder' makes perfect sense
While it may have been a secondary reason, it's named after the snake for the sensory "heat seeking" attribute: https://en.wikipedia.org/wiki/Crotalus_cerastes
I had always assumed it was due to the use of roller stabilized fins / rollerons.
https://makezine.com/article/science/energy/unusual-mechanis...
> If you saw creatures behaving like this in the wild, you might attribute some rudimentary intelligence to them.
> But we’ve just shown you how this apparent intelligence arises from the bottom up, with just four neurons and two connections. There’s no magic here. In this view, behavior emerges from neural circuits.
Isn't the conclusion here that very simple behaviors like the sparks are intelligent? I would say even a single neuron has some tiny amount of intelligence, and what the author means by "no magic" and "emergent behavior" is just a different perspective that minimizes it.
Intelligence is an arbitrary term humans assign to stuff subjectively.
Take out the "human" and it's all just algos on a scale of complexity.
While true in general (all terms are just arbitrary terms humans assign to stuff!), usually there are underlying well-defined concepts that can be associated with common-sense language and common-sense notions. For example, a line is probably a very ancient notion, but it was made more well-defined in Euclidean geometry. I don't think intelligence is a meaningless concept, but I do think there are a number of different more or less well-defined underlying concepts or formal definitions. I tend to associate intelligence with ability to reach (potentially fuzzy) goals or satisfy certain conditions (time-continued goals), solve problems, etc.. Where I live I think there is some controversy around the term artificial intelligence because people associate intelligence with more broad cognitive activity maybe including consciousness.
In fact I think this is a particularly important distinction right now, that intelligence seems (to me somewhat unexpectedly/counterintuitively) somewhat independent from consciousness, at least as far as artificial systems go (for example, old school chess engines are much capable than humans at chess but are definitely not sentient or conscious).
People seem to miss this a lot, yet we could claim every single thing is "undefined". Even physics is undefined. There's no grand theory of everything. But we still have some really good models. Our models now are a lot better than they were 100 years ago and even more than the 100 years before that and so on.
I abhor people who make the claim that words they didn't spend the time to understand are meaningless simply because they are incomplete. It is idiocracy masquerading as intelligence. I hate it so much because the logic doesn't just fool the listener, it fools the speaker.
I'll let Asimov rant to you all instead, since half a century ago he too was frustrated with this millennia old egomaniac claims https://hermiene.net/literature/essays/relativity-of-wrong
Carlo revelli explains in marvelous ways in "Reality is not what it seems" that all man made models of nature are wrong, but useful. Useful models get replaced by more-useful models. He starts out by explaining the once usefulness of the basic elements theory earth wind fire.
Agreed. Take human out and any system capable of doing an if-else is intelligent to a certain degree.
If basically everything is intelligent (e.g., incl. rather simple chemistry), does that word mean much then/is it a useful term?
As usual with these debates intelligence is confused with agency, abstract self-awareness, and subjective human-like consciousness.
Systems can have goal-seeking agency with zero self-awareness. Very simple systems can do this surprisingly well. There's an entire branch of engineering called control theory which has mathematical tools for modelling and building these systems.
Systems can have abstract self-awareness through introspection loops, but no subjective human-like consciousness.
We don't know if a mechanical system can have a subjective human-like consciousness. We likely never will, because there is no objective measurement device for human-like consciousness.
We tend to assume humans have subjective awareness by default, because life would get very complicated it we didn't. But really all we see are behaviours.
Intelligence - which pretty much reduces to pattern recognition and abstraction, and effective modelling of future outcomes from past inputs - is orthogonal to all of these.
> If basically everything is <X>, does that word mean much then/is it a useful term?
Yes and no, because nothing is as well defined as you imply.Let's let X = "chair", to make my point a little more fun.
Obviously we know what a chair is, use the Potter definition[0]. Everyone has several of them in their houses, offices, and all around. But can you state a well defined definition? Is a table a chair? I can sit on it (I often do), it has four legs, and practically all things we'd consider a chair. Okay, it has no back (usually), but then we got to throw out the stool. It has no back. It doesn't even have to have 4 legs! So what about that stump on the ground? Is that a chair? I think most people would argue through a definition of convenience. Or maybe closer to a cat's definition of "if I fits, I sit."
You can replace X with just about anything and you'll find this ambiguity runs rampant. A cup, a table, cereal, sandwich, a tomato; you name it and I'm sure someone here will point out an instance that makes that definition look a lot fuzzier than you initially thought.
So that really shows us the crux of it all: how well defined is something. That only tells us our ability to distinguish something, though it doesn't tell us how well that thing fits into the category. So the stump is a little chair-like, the table is pretty chair, a stool is usually considered a chair, and that thing I'm sitting on is unambiguously a chair[1]. s/chair/intelligence/g and you have your answer. But the if you needed that last sentence, well, there's two types of people: those that can infer.
All models are wrong, but some models are useful
[0] Incidentally this is also a good definition for explaining RLHF and has all the same problems: https://en.wikipedia.org/wiki/I_know_it_when_I_see_it
[1] Though that doesn't mean it also isn't other things!
Simple chemistry couldn't be considered intelligent- it's basically just falling down a potential energy gradient. It gets more interesting when you implement chemical logic (like transistors) and graphs of molecules that convert between each other, like autocatalytic networks.
Good question. It's a useful but incomplete term. Just like white is incomplete. There are always things to be found more white.
This is pedantic and nonsensical, IMHO. White is well defined as "the lightest color" [0]. There is nothing "whiter than white" in the objective sense. It's also a very common topic in introductions to philosophy in order to define how one makes an apology.
[0] https://www.britannica.com/story/are-black-and-white-colors
Yes, words that label parts of continua are useful, even if they don't have well defined boundaries.
Kind of amazing how simple that fact is and how many arguments are caused by people not realising that it's true.
Here are some examples: town, artery, yellow, loud, tall, kind, woman, road...
Honestly it's hard to think of words that do not exist on a continuum. The exceptions are mostly low level maths/physics things.
Sorry, but if everything is intelligent then why is a word for it even needed like it is used today - stating that intelligence is an intrinsic property of matter, moves the discussion quite a bit, I think, as it changes what we denote there.
Unlike "artery" which certainly isn't every blood vessel or "yellow" that isn't every color.
I'll highlight the gp's point here because it is subtle but important
>> words that label parts of continua are useful
and I'll add one more point: there's a difference in how people speak colloquially and how words are used by experts. In fact, different groups of experts may use the same word to mean different things (e.g. a mathematician and mechanic both call things "manifolds", yet you shouldn't confuse them). Natural language is highly overloaded (which is a big reason we invented formal languages).A problem with the word "intelligent" is that very few people look to see how it is actually used in different fields like neuroscience, psychology, or machine learning, which all use the word a bit differently, and none of them use it in the way that we use in natural speech.
> "yellow" that isn't every color.
But I can ask you how "yellow" is the color green. It is certainly some yellow. Definitely more yellow than red is. Even more so, we might argue over if black is more yellow than white or not. Which in some settings black is more yellow than white and in other settings white is more yellow than black. Hell, the fact that you can read this and understand it is clear evidence of both utility and ambiguity. We haven't even mentioned that people may use the same definition but use a word to mark a certain threshold and disagree on that threshold (the root of so many painful to watch arguments).Everything is just a bit fuzzier than you think.
"Intelligence" = vessel or color in your example
There are words that distinguish between types/degrees of intelligence. Basal/proto intelligence applies to cells and bacteria. Somatic intelligence is a level higher at tissue. Superintelligence you've no doubt heard of.
It's true that "intelligence" is general/umbrella and doesn't have much meaning, but more specific terms do exist.
So intelligence is an intrinsic property of matter then? It's not a mainstream view now, but who knows.
I personally don't think it's an intrinsic property of all matter, but an emergent one with interaction specifically. Systems have intelligence, not particles, and to be a system, you must have constituent parts (which may not be intelligent themselves). That's why they say it 'emerges'.
A cell is a system, as is a virus, a tucan, a human and an LLM. They exhibit different levels and brands of intelligence, hence continuum.
That's the popular view among scientists/philosophers/my podcasters, at least, and it makes sense to me!