chrilly: <[EMAIL PROTECTED]>: >Below is my favorite one in the list. An example of this are >neural-networks. Neural networks are just a parameter-free >optimization/estimation method. >No magic at all, just a boring and not very efficient estimator.
It's not neural networks but just a perceptron with backpropagation learning algorithm. There are lots of neural network models in the world. Some are developed by neuroscientists or cognitive scientists. #Even backpropagation is used in some real applications, Dr. Amari wrote. >Chrilly > >Warning: Cynical Definition... > > My definition of AI is any algorithm that is new in computer > science. Once the algorithm becomes accepted then it's > not AI, it's just a boring algorithm. I agree half of this. Not all algorithms derived from AI are boring :-). > At one time windows, mouse, menus, scroolbars etc. were considered > an AI technique for makeing computers understand natural language. > (The menus are a list of valid words the system understands) Really? I don't know such bizarre ad. > This is also why I study "Cognition", not AI. > > R. Keene Regards, Hideki >> Chrilly, your definition of AI is too limited. See, for example, >> http://www.cse.buffalo.edu/~rapaport/definitions.of.ai.html. >> >> Regards, >> Hideki (gg) >> >> chrilly: <[EMAIL PROTECTED]>: >>>> However, I have to disagree with this statement: >>>> "UCT: Complete Antithesis to AI-approach" >>>> >>>Martin Mueller quotes J.McCarthy in his thesis: >>>"The research of Go programs is still in its infancy, but we shall see >>>that to bring Go >>>programs to a level comparable with current Chess programs, investigations >>>of a totally >>>different kind than used in computer chess are needed". >>> >>> >>> >>>UCT is different to Alpha-Beta (not totally, because its some other form >>>of search, but it is >>>different). I am sure, McCarthy had not UCT in mind. It was always the >>>goal of McCarthy and >>>his followers to simulate and to surpass the human mind. HAL in Stanly >>>Kubrics Odyssee in >>>space 2001 is the dream-computer of this discipline. >>> >>>UCT has nothing to do with human Go. It has some similarity to the >>>behaviour of ant-collonies >>>(its not in the technical sense an ant-colony algo). It was never the goal >>>of AI to explain >>>ants. >>> >>> >>>> I really thing it is exactly a modern AI approach!! Also it is a >>>> general algorithm applied to many different domains (and many are not >>>> two player games, ie max-max problems and not min-max). >>>> >>>I full aggree, it is a general and very interesting algorithm which can be >>>applied to many >>>domains. >>> >>>How would you define modern AI? Obviously it is not the classic approach >>>to mimic humans >>>anymore. But what is it? >>> >>>In my opinion is UCT a statistical estimation method. The armed-bandit is >>>classical >>>statistical problem. >>> >>>> I think it is exactly the bad example for the "anti-drosophila >>>> thesis"... >>>> >>>What do we learn about the human mind from UCT? >>> >>>Chrilly >>>---- inline file >>>_______________________________________________ >>>computer-go mailing list >>>[email protected] >>>http://www.computer-go.org/mailman/listinfo/computer-go/ >> -- >> [EMAIL PROTECTED] (Kato) >> _______________________________________________ >> computer-go mailing list >> [email protected] >> http://www.computer-go.org/mailman/listinfo/computer-go/ > >_______________________________________________ >computer-go mailing list >[email protected] >http://www.computer-go.org/mailman/listinfo/computer-go/ -- [EMAIL PROTECTED] (Kato) _______________________________________________ computer-go mailing list [email protected] http://www.computer-go.org/mailman/listinfo/computer-go/
