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"
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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A very similar experiment was run in Lomonosov (Moscow State University) in 1982.
Their results, however, followed the pattern:
'%NOUN% felt %EMOTION% for you.'
Hello Eliza. It's been ages since I last chatted with you.
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I felt sad for the researcher.
Might be worth noting here that I have experienced totally novel emotions as a result of epileptic seizures. I don't have the associated cultural conditioning and language for them because they are private to me, so I am unable to communicate anything about them to other people.
Its also worth noting that I don't seem to be able remember the experience of emotion, only the associated behavior, though I can associate different events to each other, ie, if I experience the same "unknown" emotion again I can associate that with other times I have experienced the same emotion. But because the "unknown" emotion doesn't have a social context I am unable to give it a name and track the times I have experienced it.
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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.
In Soviet Russia, %EMOTION% felt %NOUN% for you!
I felt sad for the troll.
All misspellings and grammatical errors in the above post are intentional and part of my artistic expression.
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.
We define our emotions in much the same way. We have an experience, recorded in memory as a story and then define that experience as "happy" or "sad" through cross reference with similar memory/story instances.
Children have to be taught how to define their emotions. There are many many picture books/tv series episodes/ etc dedicated to this very exercise. Children are shown scenarios they can relate to and given a definition for that scenario.
The emotions themselves can not be supplied of course, only the definition and context within macro social interactions.
What this software can do is create a sociopathic personality. One which understands emotion solely through observation rather than first hand experience. It will take more to establish what we consider emotions ie a psychosomatic response to stimuli. This requires senses and a reactive soma (for humans this means feeling hot flashes, tears, adrenalin, etc).
In other words, the process of defining emotions -- which has to be taught to children -- is distinct from the process of having emotions, which certainly doesn't need to be taught.