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Conclusion: Between us and human-level intelligence lie
many problems. They can be summarized as that of succeeding in the
common sense informatic situation.
The problems include:
- common sense knowledge of the world
- Many important aspects of
what this knowledge is in and how it can be represented are still
unsolved questions. This is particularly true of knowledge of the
effects of actions and other events.
- epistemologically adequate languages
- These are languages for
what a person or robot can actually
learn about the world [McCarthy and Hayes, 1969].
- elaboration tolerance
- What a person knows can be elaborated
without starting all over.
- nonmonotonic reasoning
- Perhaps new systems are needed.
- contexts as objects
- This subject is just beginning. See the
references of section 7.
- AI systems will need to examine their own
- The present puzzles of formalizing action should admit a uniform
I doubt that a human-level intelligent program will have structures
corresponding to all these entities and to the others that might have
been listed. A generally intelligent logical program probably needs
only its monotonic and nonmonotonic reasoning mechanisms plus
mechanisms for entering and leaving contexts. The rest are handled by
particular functions and predicates.
Sun Apr 19 15:21:34 PDT 1998