On 1/19/07, YKY (Yan King Yin) <[EMAIL PROTECTED]> wrote:
The bottomline is that the knowledge acquisition project is *separable* from specific inference methods.
What is your argument supporting this strong claim? I guess every book on knowledge representation includes a statement saying that whether a knowledge representation format is good, to a large extent depends on the type of inference it can support. These two aspects are never considered as separable. For example, First-Order Predicate Logic is not good enough for AI, partly because it does not support non-deductive inference. Also, semantic network is considered as "weak" mainly because it has no powerful inference method associated. You cannot build a useful knowledge base without thinking about what inference methods it should support. Pei ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?list_id=303
