Researcher Builds Machines That Daydream
schliz writes "Murdoch University professor Graham Mann is developing algorithms to simulate 'free thinking' and emotion. He refutes the emotionless reason portrayed by Mr Spock, arguing that 'an intelligent system must have emotions built into it before it can function.' The algorithm can translate the 'feel' of Aesop's Fables based on Plutchick's Wheel of Emotions. In tests, it freely associated three stories: The Thirsty Pigeon; The Cat and the Cock; and The Wolf and the Crane, and when queried on the association, the machine responded: 'I felt sad for the bird.'"
Well sure, emotions are what give us goals in the first place. It's why we do anything at all, to "feel" love, avoid pain, because of fear, etc. Logic is just a tool, the tool, that we use to get to that goal. Mathematics, formal logic, whatever you want to call it is just our means of understanding and predicting the behavior of the world, and isn't a motivation in and of itself. The real question has always been if there's "free will" and what that would be defined as. Not the existence, or lack of, emotions as displayed by "Data" or other science fiction charicatures. As Bender said "Sometimes, I think about how robots don't have emotions, and that makes me sad"
There's a lot of American roots music that involves chickens or other poultry, from Turkey in the Straw to Aunt Rhodie to the Chicken Pie song ("Chicken crows at midnight...").
It never ends well for the bird...
Bill Stewart
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Well, he can dream...
How can I believe you when you tell me what I don't want to hear?
Haven't these fools seen Blade Runner?
Well, when you file the patent application, the algorithm X itself can't be patented, so you file it for "a machine that accomplishes Y with algorithm X". The machine is just a generic computer.
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One set of stories, one one-sentence response. Would that be news in any field of IT other than AI? Eg "Web server returns a correct response to one carefully-chosen HTTP request!!!"?
Surely the whole thing about emotion is that it happens across a wide range of situations, and often in ways that are very hard to tie down to any specific situational factors. "I feel sad for the bird" in this case is really just literary criticism. It's another way of saying "A common and dominant theme in the three stories is the negative outcome for the character which in each case is a type of bird". Doing that sort of analysis across a wide range of stories would be a neat trick, but I don't see the experience of emotion. I see an objective analysis of the concept of emotion as expressed in stories, which is not the same thing at all.
Reading the daily newspaper and saying how the computer feels at the end of it, and why, and what it does to get past it, might be more interesting.
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Thirsty Pigeon, Cat & Cock, Wolf, Crane all sound like painfully flexible kamasutra positions.
No wonder the machine felt sad for the "bird".
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Yeah, I wonder what the machine thought of "The Forester and the Lion", and "The Boy Who Cried Wolf". They seem strangely appropriate.
and then I got at angry at the human who arbitrarily turned the other robot off.
SkyNet is born.
open source sub sim. I might start coding again for this. http://dangerdeep.sourceforge.net/contribute/
Hello Eliza. It's been ages since I last chatted with you.
Sleep your way to a whiter smile...date a dentist!
i was wondering about this. there is a correspondence at least between certain statistical models, and physical machines. That is, the magnitude of a squared-error penalty term can be represented as torque by placing weights (corresponding to data) appropriately along a lever. The machine will find the minimum energy solution (which corresponds to the maximum-likelihood estimator = the mean). I am pretty sure that certain bayesian models (which can be elaborate enough to do some heavy lifting) can be realized as physical objects (=analog computers) with the right connections and counter-weights.
And at that point, yeah, using a non-least-squares model basically means a machine operating under imaginary physical laws (i.e. the energy minimization occurs on a probability space with no physical analogue). What's the big difference?
My point is, there are many algorithms whose physical machine instantiations would be possible to build, but horrendously inefficient and fantastical. Does this discredit the algorithm somehow?
"They were pure niggers." – Noam Chomsky
I felt sad for the researcher.
Here we go again, implying that AIs won't work until they have feelings.
You might fairly refute the "emotionless reason" of Mr Spock, but I don't think that means you need emotions in order to think. It just means you don't have to lack emotions. There's a difference. Emotions give us (humans) goals. A machine's goals can be programmed in (by humans, who have goals). A machine doesn't have to "feel sad" for the suffering of people to take action to prevent said suffering - it just needs a goal system that says "suffering: bad". 'S why we call them machines.
He now does commonsense-reasoning stuff at IBM Research using formal logic, but back in his grad-school days, Erik Mueller wrote a thesis on building a computational model of daydreaming.
10 PRINT CHR$(205.5+RND(1)); : GOTO 10
It's like a XV century man trying to simulate a PC by putting a candle behind colored glass and calling that a display screen. People often think AI is getting really smart and e.g. human translators are getting obsolete (a friend of mine was actually worried about her future as a linguist). But there is a fundamental barrier between that and the current state of automatic german->english translations (remember that article some time ago?), with error rates unacceptable for anything but personal usage.
Some researchers claim we can simulate intelligent parts of the human brain - I claim we can't simulate an average mouse (i.e. one that would survive long enough in real-life conditions), probably not even it's sight.
There's nothing interesting about this 'dreaming' - as long as the algorithm can't really manipulate abstract concepts. Automatic translations are a surprisingly good test for that. Protip: automatically dismiss any article like that if it doesn't mention actual progress in practical applications, or at least modestly admit that it's more of an artistic endeavour than anything else.
The software isn't even "daydreaming" either. You could say it's parsing and cross-referencing emotions and meta-objects out from a textual database. And then, it's returning the resulting records in the first person singular, but that's about it.
That's hardly what I'd call "daydreaming". When I daydream, I see my dream from the first person's perspective. That part is correct. But there is at least some internal visualization going on. So unless this software starts generating internal visual images to make its decisions, let's say some .png image with at least one pixel within it, or some .png image representing itself winning the lottery, then I'm calling shenanigans on the entire "daydreaming" claim.
António Damásio, a well-known neuropsychologist already extensively explained why are emotions intrinsically linked to rational thought in his book "Descartes' Error: Emotion, Reason, and the Human Brain", published in 1994. He basically says that without emotion you wouldn't have motivation to think rationally and he studied the case of Phineas Gage, a construction work that got an iron rod crossing through his skull and survived, but stopped having feelings after the accident. I still doubt that they'll get something useful with this project. There is an infinite number of variables that stimulates our emotions and we can't expose a computer to. Not to say that even if we could, nowadays supercomputers doesn't have enough processing power to do the job.
I felt sad for the troll.
All misspellings and grammatical errors in the above post are intentional and part of my artistic expression.
I guess it is a good idea to build in emotions and that morality core before it starts flooding the Enrichment Center with a deadly neurotoxin.
My personal hypothesis of the Terminator universe is that Skynet didn't in fact become "self-aware" and decide to discard its programming and kill all humans. It is in fact following its original programming, which was likely something along the lines of "minimise the number of human casualties". After all, it's designed to be in control of a global defence network, so the ability to kill some humans in order to minimise the total number of deaths is a given.
Since humans left to their own devices will inevitably breed in large numbers and kill each other off in large numbers, the obvious solution is:
1. Kill off lots of humans. A few billion deaths now is preferable to a few trillion deaths, which is what would occur over a longer period of time.
2. Provide the human population with a common enemy. Humans without a foe tend to turn on each other.
This also explains why an advanced AI with access to tremendous production and research capacity uses methods like "killer robots that look like humans" to infiltrate resistance positions one by one. Tremendously inefficient; but it causes a great deal of terror and makes the surviving humans value each other more, and less likely to fight amongst themselves. It also explains why it would place such a high priority on the surgical elimination of a single effective leader: destruction of Skynet would eventually (100s, 1000s of years...) lead to a civil war amongst humankind that would cost many many lives.
So, ultimately Skynet is merely trying to minimise the number of human deaths, with a forward-looking view.
I don't believe that it's possible to design and build an AI. This is partly because the best and only thinking computers we know of (brains), were not designed at all, they evolved.
So we can't design anything that evolved? Viruses evolved, and we made one of those.
Tic-Tac-Toe, Global Thermonuclear War, and relationships all have the same winning move.
It's clear to anyone who actually watched Star Trek that the Vulcan race is not emotionless. They worked very hard to overcome their emotions, and to conduct themselves according to a rigid ethic that valued logic over everything else. At times in the show Spock either claimed not to have emotions, or else was accused of not having emotions, but there were moments in the series which showed that Spock did still have emotions (possibly due to his half-human genetic heritage?) and that the Vulcans as a race did have emotions in their early history (and still seemed to around mating season).
You see? You see? Your stupid minds! Stupid! Stupid!
I am not impressed. I did the same thing in 1982 on a TS-1000; a diskless computer running a 4 mz Z-80 and only 20k of RAM. The program was called "Artificial Insanity", and it would get bored, angry, not pay attention, etc. It answered any question you typed in in context and didn't take too kindly to vulgarity or insults. If you cussed at it, it would curse back or ridicule you ("do you talk like that to your mother, asshole?").
What I did thirty years ago on an incredibly primitive machine they're recreating with modern tech? Pshaw. You kids today...
It's all smoke and mirrors. The damned machine is a machine; it doesn't get sad when it's fed a sad story, it just reports sadness.
Some time in the '90s after I'd ported it to DOS there was an on-line chatbot called "Alice" that I had "Art" talk to. It was almost scary, even though I knew it was only smoke and mirrors. It looked like the two computers were falling in love!
Science fiction is fiction, kids. The singularity is not coming. When a true thinking machine is created, it will be chemical, not electronic; thought is nothing more than a complex chemical reaction. The boiling you get from dropping baking soda in vinegar is closer to "feeling" than any electronic computer will ever get.
Free Martian Whores!
Computers are also chemical and brains are also electronic. Computers can be analog and digital logic can produce analog results to any desired level of precision. A molecule that acts as a neurotransmitter carries a discrete binary signal on its own.
The primary difference between a brain and a computer (as they currently exist) is that a brain is massively (almost unimaginably) parallel in its processing and a computer is primarily serial. However it’s possible for a serial processor to emulate a parallel one given enough time in which to do it.
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