The essential question is: Can it go from basic reading comprehension to advanced just by adding more rules. Is intelligence simply 10 million rules? If so, how do we go about creating new rules as language evolves? By hard-coding them, as in the example code?
I believe that it can go from basic reading comprehension to more advanced by adding many rules but of course manually adding them is not very feasible or scaleable.
In my opinion, the fuzzy, statistical methods @davesullivan mentions have a better chance at generalizing (although they may well be augmented by rules-based AI).
I agree that a statistical model would be better since it will be able to handle more complexity. It would be much easier to train the rules from a dataset instead of hard coding all of them and it would be able to adapt to new rules as well. However, I could not find a good data set for the task I wanted.
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I believe that it can go from basic reading comprehension to more advanced by adding many rules but of course manually adding them is not very feasible or scaleable.
I agree that a statistical model would be better since it will be able to handle more complexity. It would be much easier to train the rules from a dataset instead of hard coding all of them and it would be able to adapt to new rules as well. However, I could not find a good data set for the task I wanted.