Short answer: (1) AGI needs to allow fuzzy concept, and to handle
fuzziness properly, (2) probability theory, in its typical form, is
not the right tool for it, (3) fuzzy logic, though is specially
designed for this problem, and therefore more proper than probability
theory, has its own limitations.
Long answer: see
http://www.cogsci.indiana.edu/farg/peiwang/PUBLICATION/#fuzziness
Pei
On 8/2/06, Yan King Yin <[EMAIL PROTECTED]> wrote:
I'd like to know your views on fuzzy logic. Does AGI need to implement
fuzzy inference mechanisms or are they subsumed by probability theory?
Proponents of fuzzy logic says that fuzzy is not the same as probabilistic
(which, of course, is true). But the question is whether a good AGI can be
built on probability theory alone.
Any comments?
YKY
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