The way I see it, on the expert systems front, bayesian networks
replaced the algorithms being currently discussed. These are more
flexible, since they are probabilistic, and also have associated
learning algorithms. For nonprobabilistic systems, the resolution
algorithm is more generally applicable (it deals with any logical
statement it is given, rather than only with if-then rules).
Resolution subsumes both forward and backward chaining; to forward
chain, we simply resolve statements in the database, but to backwards
chain, we add the negation of the query to the database and try to
derive a contradiction by resolving statements (thus proving the query
statement by reductio ad absurdum).

The most agi-oriented remnant of the rule-based system period is SOAR
(http://sitemaker.umich.edu/soar). It does add new rules to its
system, but they are summaries of old rules (to speed later
inference). SOAR recently added rienforcement learning capability, but
it doesn't use it to generate new rules  as far as I know.

On Wed, Jul 16, 2008 at 7:16 AM, Mike Tintner <[EMAIL PROTECTED]> 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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