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لغة البرمجة Church نشره الأمجد توفيق اصطيف في السبت, 03/04/2010 - 4:10م
ملخص: In probabilistic AI, a computer is fed lots of examples of something -- like pictures of birds -- and is left to infer, on its own, what those examples have in common. This approach works fairly well with concrete concepts like "bird," but it has trouble with more abstract concepts -- for example, flight, a capacity shared by birds, helicopters, kites and superheroes. You could show a probabilistic system lots of pictures of things in flight, but even if it figured out what they all had in common, it would be very likely to misidentify clouds, or the sun, or the antennas on top of buildings as instances of flight. And even flight is a concrete concept compared to, say, "grammar," or "motherhood." As a research tool, Goodman has developed a computer programming language called Church -- after the great American logician Alonzo Church -- that, like the early AI languages, includes rules of inference. But those rules are probabilistic. 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. لمزيد من المعلومات:
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