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Up: Conventional AI: Production systems and expert systems
Unfortunately, the features that make production systems suitable as
models also make them tedious to read about. Lots of very simple rules,
each performing a minute change on a big database: any model of
reasonable interestingness takes many many cycles to run. To get a feel
for production system models, it's essential to try lots of examples. So
you may not have much time left to write an essay.
I'll set one anyway. Please choose one of the following questions, and
write an essay on it. (If you want, you can write on more; it would be
useful to have the others prepared for Finals.)
- How do expert systems differ from production systems? Discuss
the differing roles of AI as engineering and AI as
Recent advances in computer modeling lead to the conclusion that the
mind is a rather low-grade expert system, with a grossly restricted
working memory, and impoverished rule format. Thus knowledge
engineering, the task of transferring knowledge from mind to expert
system, becomes merely the task of transferring data from one rule-based
system to another, and is hence essentially trivial. Discuss.
What, if anything, have production systems contributed to developmental
- Production systems can simulate cognitive tasks. Does it
therefore follow that the mind is a production system?
Tue Jun 3 11:26:14 BST 1997