What are the four properties for knowledge representation in AI ?
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A good knowledge representation system must have following properties:
a) Representation Adequacy: It must be able to represent all knowledge required in a particular domain
b) Inferential Adequacy: It must be able to derive knowledge representation structures such as symbols when new knowledge is inferred from old knowledge
c) Inferential Efficiency: It must be able to incorporate additional information into knowledge structures which may help inference process to move in promising direction
d) Acquisitional Efficiency: It must be able to incorporate new information