Artificial Intelligence

Ross, Hartsfield, and Webb


    We've learned, thus far, of the philosophies and theories behind cognitive science and its history.  From the Turin Test to the various parts and functions of the human brain, the plans have been laid for technological advancement beyond the wildest dreams of the "forefathers" of modern computers. We know the concepts behind synapses and brain function.  The question is, where do we go from here?  The answer to this question lies in Artificial Intelligence (AI).
    Researchers in AI are attempting to get to the heart of some very tough questions:  How can computers process information "more like humans"? Will a computer one day be able to reason like a human?  Can the human brain be mimicked? What if?
  • Strong AI- The school of thought that holds to the belief that computers can be         made to think as human beings do.
    • The majority of researchers today seemed to be focused on Strong AI, however some are opposed to the idea of an "intelligent" computer.
  • Weak AI- The school of thought that holds to the belief that computers merely simulate certain aspects of human activity.

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  • Fuzzy Logic:
  • One concept that Strong AI researchers rely on is Fuzzy Logic.
  • In the past, computers were limited in their abilities because they only dealt with absolutes (ie. hot/cold; smart/dumb; here/there)
  • Today, for the first time in history, computers can be "middle of the road" so to speak.
  •  What is Fuzzy Logic?
  •  The Formula Explaining Fuzzy Logic

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  • Moore's Law
  • One glitch in human brain simulation  is that it will take up a lot of memory.
  • Something has to be created to assure limitless supplies of memories.
  • An ideal way to do this would be to actually be able to "grow" a brain.
  • Moore's Law
  • Dr. Degaris' Brain (Old Model)
  • Dr. de Garis' Brain (New Model)
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  • Neural Networks, Fuzzy Logic and Moore's Law at work:
  • A neural network uses the concept of fuzzy logic, coupled with a new algorithmic formula to create a system that thinks "more human" than before.
  • An Explanation of Artificial Neural Networks
  • Images and Formulas For a Simple Neural Network Algorithm
  • Uses for Neural Networks

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  • The Next Step in Strong AI:
  • Concept of  Fuzzy Logic
  • Brains that evolve.
  • Networks that use them.
  • What's Next?
  • Dr. Korkin has used the above concepts and is planning on an extraordinary project due "in time for the holidays (maybe) in the year 2001."
  • The Project is Explained
  • Dr. Korkin's Pet Project

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      AI References

  •  Dr. Hugo de Garis Homepage-text, table, intermediate, long, links
  • This page describes the background and work of Dr. Hugo de Garis. It describes his latest project in detail. This page come complete with good images and formulas to explain his research.

    • http://www.hip.atr.co.jp/~degaris/
     
  •  How Long Before Super Intelligence? -text, intermediate, long, links, graphics
  • Page describes the past, present, and future of Artificial Intelligence. Lots more good formulas and explanations.  Detailed explanation of Moore's Law.        http://www.hedweb.com/nickb/superintelligence.htm
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  •  Fuzzy Logic Archive-text, graphics, links, advanced, long, search
  • Page contains tons of info. on fuzzy logic.  Detailed explanations and simple pictures describe the processes used in fuzzy logic.         http://www.austinlinks.com/Fuzzy/
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    Neural Networks

  • Neural Networks Using Genetic Algorithms-text, links, intermediate, medium
  • Page describes the process used to "grow" or "evolve" computer memory. http://www.cs.bgu.ac.il/~omri/NNUGA/
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  • Comparing the Retina With Computer Vision-lecture, graphics, intermediate, long
  • This page shows the equations researchers use to imitate the processes of the human retina.  Astounding amounts of memory are needed.             http://www.frc.ri.cmu.edu/~hpm/book97/ch3/retina.comment.html
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  • Artificial Intelligence, Fuzzy Logic, and Neural Networks index, graphics, intermediate, long
  • This page makes searching for info. on AI much much easier.  This is an index of  atleast 20 (maybe more) links centered around the topics listed in the title.

    • http://www.wspc.com.sg/books/compsci/aiflnn.html
     
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