can fuzzy logic be used for self learning. Can anyone please suggest a few online articles on fuzzy logic?
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Fuzzy Logic is very "stick it" powerful and effective control, but it often requires serious top-down engineering.\n\nWhat teaches itself is "Neural Networks", and they are very fast and effective.\n\nWhat the controls guys do is combine them to make "Neural-Fuzzy" Control.  It is self learning, very fast, and "sticks it" when nearly nothing else will.  Its awesome stuff.
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If you want a detailed answer, then I suggest you start here:\n\nhttp://www.google.co.uk/search?hl=en&q=prolog+AI&btnG=Google+Search&meta=\n\nRawlyn.
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http://en.wikipedia.org/wiki/Data_mining
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I did not take this specific course in college however I have studied it extensively since I have been practicing. I honestly believe it supplies more answers than many of the theorist were able to provide.  It of course is used in conjunction with theories in practice but there is honestly an area you miss out if you don't cover it.  Try reading Molecules of Emotion, I can't think of the author, she writes in a way that is very down to earth and yet really explores the impact of emotion on neurochemistry.  From their it is easier to expand into the concepts of behavior.
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/Darwinian theory of self selection [Boolean=1]\nDUH!!! NOW they do....\n/Darwinian theory of self selection [Boolean=0]
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its good to be wise this you cant train for but happens.Its best to try not to be clever as the most intelligent people are noy always wise.Wisdom comes from understandind not learning and i hope you all find that!
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dear friend you can find some useful information in this site.it teaches easily so  I'm sure that it's use ful for you
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you are looking for NEURAL NETWORKS. Try those two books:\nbayesian artifical intelligence, by Kevin Korb & Ann Nicholson (ISBN 1-58488-387-1) and\nNeural Network Experiments on Personal Computers and Workstations (Bradford Books) (Paperback)\nby Granino A. Korn (ISBN 0262610736 )\n\nNote that the two books have a completely different aproach to neural networks. The second one (which is older) treats NN as transformation matrixes and provides algorithms for uptdating those (learning) but without a sound probabilistic reasoning support.\nThe first one goes from Bayesian probability (the effect of new information upon knowledge) to computing constructs for representing it.
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The site listed below has a complete online textbook that is absolutely free and contains a well written, lucid approach to teaching this subject. \n\nHighly recommended!!\n\nhttp://www.io.com/~hcexres/textbook/
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Although our computing tools (such as our brain) are finite, but they can touch infinity through mathematical induction or recursion.\n\nFeeling finit ocuures for a neural network, when the data stored in it is going to overfow the nerons capacity.
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Your Personal PLC Tutor is here to help... \n\nhttp://www.plcs.net/
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i am intrigued by your idea of LOGIC!!! interesting
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Try Learndirect and vision to learn both are on-line courses and are free.\n\nhttp://www.learndirect.co.uk\nhttp://www.vision2learn.co.uk\ntry the links, I have and it is fun learning something new.
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Believe it or not.\nHe is self-taught.\nAmazing isn’t it?
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Distant Learning... Via online.. Or just find buy some good books from Cambridge or Oxford and learned... But, you need a supervision from a teacher also, so, distant learning is the proper way.
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The current learning models are based on the Bloom's Taxonomy. See the link below.\n\nCritical thinking are in the higher level learning skills like application, analysis, evaluation, creation, etc. Rote memorization would be considered a lower level learning skill. Logic is one tool always used at every level of learning. Logic skills are commonly categorized as induction or deduction. Induction is extrapolating patterns starting with a few initial examples (like finding the following sequence). Deduction is drawing a conclusion given a number of clues or facts (like detective work). There are other forms of logic as well.
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The Bomb sqaud is one of the most avid users of multiple types of IA products.\n\nFuzzy logic controlers are used by this and other law enforcement groups to guide detection robots into the field\n\nImage recognition algorythms such as GRG5 are also quite comon to quickly asses potential threats.\n\nOne really Interresting algorythm is ISM (Interpretative structured modeler) which plots a causal chain linking ideas (Such as inferred motives, or open problem statements) by using a logical connector then following the conmutative property of booleans establihes cyles and links to plot a course of action with the least possible risk