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Self-Improving Systems

Posted by Hemos on from the bigger-better-faster dept.

Roland Olsson writes "A relatively easy way to construct "intelligent" systems that improve themselves practically ad infinitum is described at http://www-ia.hiof.no/~rolando/SIG/ Maybe Steven Spielberg's AI film is closer to reality than the general public knows *smile*?"

4 of 174 comments (clear)

  1. Great.. by VFVTHUNTER · · Score: 3, Informative

    Someone took a GP algorithm and superimposed it on the architecture of an RS Flip-Flop. On the plus side, with all of /.'s traffic, they probably won't have a hard time finding someone to fill that open position at the bottom of the page.

  2. A framework for self-improving systems by Black+Acid · · Score: 4, Informative
    ResearchIndex lists Theo: A framework for self-improving systems. Although The NECI Scientific Literature Digital Library: ResearchIndex itself does not carry the document, it lists several related ones. Heavy stuff. An excerpt from ResearchIndex summarizes Theo quite well:
    For instance, the THEO system (Mitchell et al. 1989) uses a single knowledge base and a single set of axioms.
    I'd suggest anyone seriously interested in self-improving systems check out Mitchell, T. M., J. Allen, P. Chalasani, J. Cheng, O. Etzioni, M. Ringuette, and J. C. Schlimmer's 1989 book, Theo: A Framework for Self-Improving Systems: National Science Foundation, published by DEC.
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  3. Genetic Programming by nyjx · · Score: 4, Informative
    ... has been around since the mid 80's and although it works for toy problems it's very hard to get systems of a significant scale out of it. You're basically swapping sub branches of your program around to see what works - tranversing the space of all possible programs - it takes *a lot* of random attempts to do better than a human doing it analytically. Most AI researchers believe that you need at least a little bit of knowledge to guide your program's adaptation rather than blind mutation.

    The Father of GP (John Koza) may disagree with me - he runs genetic-programming.org and more or less invented the field. He's also known for his vigorous defences of GP: anybody know of real applications?

    A somewhat more complete description of GP can be found at Genetic-programming.com.

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  4. GA Archive by metlin · · Score: 3, Informative

    Check out the GA Archive. Great collection of the more famous GA's and proceedings.

    For those wishing to get an intro to GA, try The Hitchhiker's Guide to Evolutionary Computation.