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Oct. 20th, 2007
Artificial Intelligence Sidetracked?
Oct. 20th, 2007 10:36 pmFrom 3 Quarks Daily:
"Over at MIT, a video of Marvin Minsky's discussion of AI and commonsense:
'Marvin Minsky is worried that after making great strides in its infancy, AI has lost its way, getting bogged down in different theories of machine learning. Researchers “have tried to invent single techniques that could deal with all problems, but each method works only in certain domains.” Minsky believes we’re facing an AI emergency, since soon there won’t be enough human workers to perform the necessary tasks for our rapidly aging population.
'So while we have a computer program that can beat a world chess champion, we don’t have one that can reach for an umbrella on a rainy day, or put a pillow in a pillow case. For “a machine to have common sense, it must know 50 million such things,” and like a human, activate different kinds of expertise in different realms of thought, says Minsky.
'Minsky suggests that such a machine should, like humans, have a very high-level, rule-based system for recognizing certain kinds of problems.'"
My response is that the best next step forwarde, rather than focusing on all the independent types of learning that each have a view onto the others, in a versy certain perspective, find the ability to choose. I ask you, What work has been done toward the development of a contextual analysis algorithm, such that any AI would in fact be, as humans are, several different intelligence systems with the ability to assess the situation and make a determination toward the best system to use? Not enough, because it's not useful, yet, and we're still in all of these piddling little "my system's better" spats.
Get over it.
"Over at MIT, a video of Marvin Minsky's discussion of AI and commonsense:
'Marvin Minsky is worried that after making great strides in its infancy, AI has lost its way, getting bogged down in different theories of machine learning. Researchers “have tried to invent single techniques that could deal with all problems, but each method works only in certain domains.” Minsky believes we’re facing an AI emergency, since soon there won’t be enough human workers to perform the necessary tasks for our rapidly aging population.
'So while we have a computer program that can beat a world chess champion, we don’t have one that can reach for an umbrella on a rainy day, or put a pillow in a pillow case. For “a machine to have common sense, it must know 50 million such things,” and like a human, activate different kinds of expertise in different realms of thought, says Minsky.
'Minsky suggests that such a machine should, like humans, have a very high-level, rule-based system for recognizing certain kinds of problems.'"
My response is that the best next step forwarde, rather than focusing on all the independent types of learning that each have a view onto the others, in a versy certain perspective, find the ability to choose. I ask you, What work has been done toward the development of a contextual analysis algorithm, such that any AI would in fact be, as humans are, several different intelligence systems with the ability to assess the situation and make a determination toward the best system to use? Not enough, because it's not useful, yet, and we're still in all of these piddling little "my system's better" spats.
Get over it.