Gödel, Escher, Bach and Super-expertise

  • Pamela N. Gray
  • Xenogene Gray
  • Deborah Richards
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4798)


A major problem in knowledge acquisition is expert combinatorics. A human expert, such as a lawyer, deals with combinatorics restricted to the client’s case in hand; only part of the full combinatorics is worked out. An artificial expert, with computational intelligence, processes all possible user cases consistently; it has Super-expertise that can process any case much quicker and more expediently than a human expert. This paper considers the nature and limits of Super-expertise, with some reference to the early visions of artificial intelligence of Hofstadter, in order to develop programming epistemology as methodology that may solve many of the knowledge acquisition problems that have produced the Feigenbaum bottleneck. An application of a fifth generation language, a Superexpert system shell called eGanges, which was designed according to a computational epistemology of a legal expert, is used to illustrate this development of programming epistemology.


Combinatorics eGanges Epistemology Expert Systems Super-expertise 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Pamela N. Gray
    • 1
  • Xenogene Gray
    • 2
  • Deborah Richards
    • 2
  1. 1.Centre for Research in Complex Systems, Charles Sturt University, BathurstAustralia
  2. 2.Macquarie University, North RydeAustralia

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