Index K

[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X]

Kanga animat 
knowledge
    learning systems 
knowledge base
    fuzzy set theory  2nd  3rd 
knowledge elicitation
    RBSs (rule-based systems)  2nd  3rd  4th  5th 
knowledge engineer approach
    membership functions
        creating 
knowledge of the problem
    black box understanding 
        informal knowledge  2nd 
        software specification 
        theoretical analysis  2nd  3rd  4th 
    fundamental understanding 
        nature  2nd  3rd 
        properties  2nd  3rd  4th  5th 
    information theory  2nd 
    methodology 
        data analysis  2nd  3rd  4th  5th 
        expert features  2nd 
        feature identification  2nd 
    minimal complexity  2nd  3rd  4th 
    refining 
        decomposition  2nd  3rd 
        simplification  2nd  3rd 
    representation  2nd  3rd  4th 
    search space 
        properties  2nd  3rd 
    solutions
        exhaustive 
        expert guidance  2nd 
        expert solutions 
        hybrid approaches 
        random 
    underlying knowledge 
        covariance  2nd  3rd  4th 
        effective domains  2nd  3rd 
        usage analysis  2nd  3rd 
        variables  2nd  3rd  4th 
knowledge represeantation
    RBSs (rule-based systems)  2nd  3rd 
knowledge representation (KR)  2nd  3rd  [See KR (knowledge representation)]
KR (knowledge representation)  2nd 
    formalisms  2nd 
    frames 
    introspection  2nd 
    object-attribute-value paradigm  2nd 
    semantic networks  2nd  3rd 
    symbols  2nd