| It's hard for me to imagine what's meant by the phrase "a real thinking machine." Human level and human versatility? We can get those the old fashioned way. What we already have are programs that think better (deeper, faster, more imaginatively--whatever that means) in certain narrow domains. One of those is the far from negligible domain of molecular biology. Such programs cannot get themselves to the airport, or enjoy strawberries, but they really don't need to, do they? Contemporary molecular biology would be unthinkable (ahem) without such programs. Likewise, chess is now something machines do better than humans, and Kasparov, at least, says he is learning a great deal from how programs play chess. Some confusion has arisen because historically, the field of artificial intelligence both tried to model human thought, and tried to solve certain problems by hook or by crook (without reference to how humans do it). They were two distinct efforts. Cognitive psychologists were grateful to have in the computer a laboratory instrument that would allow them to move beyond rats running mazes (yes, folks, this is where cognitive psychology was in the 1950s). People interested in solving problems that humans are inept at solving were glad to have a machine that could process symbols. I'm just now reading Eric Kandel's graceful memoir, "In Search of Memory." Kandel, a Nobel laureate and biologist, has devoted his life to understanding human memory, which he believes is one of the great puzzles whose solution would lead directly to understanding human thought. He hasn't the least doubt that these seemingly intractable problems will someday be cracked. I don't either. And we won't go crazy doing it. Pamela McCorduck On Jul 21, 2006, at 11:23 AM, James Steiner wrote:
"The amount of money one needs is terrifying ..."
-Ludwig van Beethoven
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