Researcher Builds Machines That Daydream 271
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.'"
How does the machine like country music? (Score:3, Informative)
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...
Re:Building? (Score:4, Informative)
Re:AI researchers should be more modest (Score:5, Informative)
AI will deliver real useful advances any day now. And those advances have been right around the corner for the last 25 years. I agree, the field has been decidedly nonimpressive. What tiny advancement we've seen, has almost entirely been attributable to the VAST advances of raw computing-power and storage.
Meanwhile, we're still at a point where trivial algorithms, perhaps backed by a little data, outperform the ai-approach by orders of magnitude. Yes, you can make neural nets, train them with a few thousand common names to separate female names from male names, and achieve 75% hitrate or thereabouts. There's no reason to do that though, because a lot better results are achieved trivially by including lookup-tables with the most common male and female names -- and guessing randomly at the few that aren't in the tables. Including only the top 1000 female and male names, is enough to get a hitrate of 99.993% for the sex of Norwegians, for example. Vastly superior to the ai-approach and entirely trivial.
Translator-programs, work at a level slightly better than automatic dictionaries. That is, given an input-text, look up each sequential word in the dictionary, and replace it with the corresponding word in the target language. Yes, they are -slightly- better than this, but the distance is limited. The machine-translation allows you to read the text, and in most cases correctly identify what the text is about. You'll suffer loss of detail and precision, and a few words will be -entirely- wrong, but enough is correct that you can guesstimate reasonably. But that's true for the dictionary-approach too.
Roombas and friends do the same: Don't even -try- to build a mental map of the room, much less plan vacuuming in a fashion that covers the entirety. Instead, do the trivial thing and take advantage of the fact that machines are infinitely patient: simply drive around in an entirely random way, but do so for such a long time that at the end of it, pure statistical odds say you've likely covered the entire floor.
Re:Artificial Stupidity (Score:3, Informative)
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.
Spock != emotionless (Score:4, Informative)
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).