Tuesday, October 12, 2004

commonsense and the practice of AI

I had a chance today to spend a little time with a division director of the National Science Foundation. I showed him some of the work we are doing at the Media Lab to give computers more "common sense." I spent much of our time on the commonsense knowledge bases and reasoning tools we are developing, and a little of it on the cognitive architecture we are developing to coordinate the use of these systems.

What we are doing is considered very unconventional, but I hope that the larger AI community will soon come to see the value of the commonsense approach. My belief is that the practice of AI will change dramatically as large-scale commonsense resources become more commonly available. Instead of machine learning from scratch, much machine learning will be concerned with learning in the context of substantial existing knowledge. Instead of hand-coding small knowledge bases for their domain, researchers will augment existing commonsense knowledge bases with the additional knowledge their domain needs. Instead of perceptual systems operating mainly bottom-up from the signal, they will come to use large amounts of top-down knowledge about a wide range of objects, situations, and events, and so forth.


Blogger G33xy |30n9 said...

Perhaps "Common Sense" is the answer to the missing "I" in "AI"

It has occurred to me often that an AI system is nothing but a large database of facts, theories and powered by complex, fast search and decision making algorithms. So again AI systems rely on humans for their "I". An AI system is as good as the knowledge base and the algorithms.

June 20, 2007 at 1:14 AM  

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