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AN MIT RESEARCHER has developed a language to help build a smarter AI.
According to the MIT, Noah Goodman, a researcher who specialises in brain and cognitive sciences, created a language called Church named after American logician Alonzo Church. Goodman developed Church from two disparate strains of AI theory. MIT believes it could be "a grand unified theory of AI."
Both logic and probability based AI are the two main theories typically used. But rule based theory has fallen by the wayside because, well, there were too many rules to compute. Probability is more prevalent, using computational inference from huge swathes of data. But that theory has trouble identifying more abstract notions.
Goodman's Church language combines the best of the logic AI and probability systems. This could be very significant for AI and cognitive science.
Larry Hardesty at the MIT News Office summed it up succinctly. "Told that the cassowary is a bird, a program written in Church might conclude that cassowaries can probably fly. But if the program was then told that cassowaries can weigh almost 200 pounds, it might revise its initial probability estimate, concluding that, actually, cassowaries probably can't fly."
As a bookend, there's an article here from 1996 on why AI has failed, guest-starring Bill Gates:
"I think your observations about the AI field are correct. As you are writing papers about your progress I would appreciate being sent copies. I am still extremely interested in AI," said Gates.
So if that was 14 years ago, what AI master plan has Gates been working on? Answers on a postcard or in the comments, please. µ
They already fixed the issue, by having the people become less and less intelligent it becomes increasingly easier to match them with an electronic emulation.
As an example I bet that a handful of lines can emulate your average youtube comment author.
Maybe there will be a convergence as humanity reaches its lowest attainable level and the computer its highest.
Except of course by that time the US is starting their nuclear wars they are preparing for and I fear those computers won't experience it for very long.
"Mr Gates must have read AI as Always Income, thats why he still interested in AI"
It's really sad that '$' always has to be the bottom line in when ya get down to it.
It's even sadder that no matter how much ya have it's never enough! Wall Street is living proof of that.
Mr Gates must have read AI as Always Income, thats why he still interested in AI
HA HA APRIL FOOLS
WELL, ITS OVER BECAUSE TODAY ITS APRIL 2.
AND BY THE WAY: IF ITS A -JOKE- ITS GOT TO HAVE A -PUNCH LINE-
SPECIFICALLY, GATES IS AN IDIOT!
I think Goedel showed that any axiomatic system is incomplete or has internal contradictions.
Therefore, an intelligent system must "get by" by "winging it" (providing probabilstic answers), or grinding to a halt, or going crazy. Many movies have demonstrated these potential outcomes.
I'd hate to be connected to a computer that suffered any of the breakdowns I've described.
AI "researchers" should be biologists because those are the only systems demonstrating intelligence. It's not going to arise on machines that blindly perform a series of operations, no matter how fast. Their data objects are feeble and no amount of "computational inference" can associate them in the way that the least perception (or concept) does to an animal. If AI is ever made it'll be on massively interconnected analog circuits: I think the term from sci-fi was "positronic brain".
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