Mike,

If memory serves, this thread started out as a discussion about binding in an AGI context. At some point, the terms "forward-chaining" and "backward-chaining" were brought up and, then, got used in a weird way (I thought) as the discussion turned to temporal dependencies and hierarchical logic constructs. When it appeared no one else was going to clear up the ambiguities, I threw in my two cents.

I made a spectacularly good living in the late 1980's building expert system engines and knowledge engineering front-ends, so I think I know a thing or two about that "narrow AI" technology. Funny thing, though, at that time, the trade press were saying expert systems were no longer "real AI." They worked so well at what they did, the "mystery" wore off. Ah, the price of success in AI. ;-)

What makes the algorithms used in expert system engines less than suitable for AGI is their static ("snapshot") nature and "crispness." AGI really needs some form of dynamic programming, probabilistic (or fuzzy) rules (such as those built using Bayes nets or hidden Markov models), and runtime feedback.

Thanks for the kind words.

Cheers,

Brad

Mike Tintner wrote:
Brad: By definition, an expert system rule base contains the total sum of the
knowledge of a human expert(s) in a particular domain at a given point in
time. When you use it, that's what you expect to get. You don't expect the
system to modify the rule base at runtime.  If everything you need isn't in
the rule base, you need to talk to the knowledge engineer. I don't know of
any expert system that adds rules to its rule base (i.e., becomes “more
expert”) at runtime. I'm not saying necessarily that this couldn't be done,
but I've never seen it.

In which case - (thanks BTW for a v. helpful post) - are we talking entirely here about narrow AI? Sorry if I've missed this, but has anyone been discussing how to provide a flexible, evolving set of rules for behaviour? That's the crux of AGI, isn't it? Something at least as flexible as a country's Constitution and Body of Laws. What ideas are on offer here?



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