Author: Amir Ban
Date: 06:05:50 01/28/98
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On January 28, 1998 at 07:16:50, Simon Read wrote: >AB: Amir Ban On January 28, 1998 at 02:57:50 >AB> I'm sure this research will one day get positive results, and then >we >AB> will be on track to achieving AI. Possibly once the basic cognition >AB> tasks are solved, the rest will be easy [...] >--> >Now my PhD is finished, I have more time to spend on neural network >chess. Would you consider a neural network playing chess to be >intelligent? No, unless it could as a by-product display cognition capabilities similar to the examples I posted, but it would be an AI project worth doing, and making it actually work would be an achievement of theoretical value. I have a fair idea that when it gets playing, its >thought processes will be inscrutable, so it won't really be possible >to tell how it's doing it. It will learn from experience: is that a >characteristic of intelligence? > Of human intelligence certainly, and for this reason it's a valid AI item. I'm not really sure learning ability is a must to qualify for intelligence. Without it you must be externally taught everything, and even then you have an inferior sort of intelligence. Still, I think it's not absolutely necessary. If you remember my post, then insects, for example, are known from experiment not to learn many things from experience no matter how many times they go through it, and this reveals that they are really pre-programmed to do a routine. Yet their pre-programmed ability, disappointing as it is, is far beyond what any computer program can show at this time. Don't get me wrong. Necessary or not, learning is a key feature of human intelligence and modeling it in a program would be a great AI achievement. >Personally, I think that playing chess (exercising skill) is a part >of intelligence. LEARNING chess is a deeper part of intelligence. > >Simon
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