Mark, thanks for quick answer. I will try to ping you on irc tommorow while
is getting late here in Poland.
2011/12/12 Mark Proctor <mproctor(a)codehaus.org>
On 12/12/2011 21:39, Maciej Gowin wrote:
I saw that there is an open issue for Opportunistic Backward Chaining:
https://issues.jboss.org/browse/JBRULES-3272
While I want to start working on this topic during my PhD thesis
my question is if there is any work done on this?
Is there any possibility to contribute in solving this issue?
Of course I know that there is already Prolog Style Query Based
Backward Chaining implemented.
Come onto irc to discuss:
http://www.jboss.org/drools/irc
As a quick summary drools supports unification and derivation queries,
that work in the same way that you would expect from a prolog system.
However in Drools those derivation trees can be fully materialised, like a
materialized view in a database. What this means is that as the underlying
ground terms change, the result set is updated to reflect that. So a query
becomes a live view over a derivation tree.
This materilized tree almost gives us OBC, because each query + argument
is materized on first request. The problem though is currently this
derivation tree is unique to the caller. What we need to do is make any
derivaition tree, query + arguments, available as a global cache. So when
we go to execute a query, we first see if anyone else has, and if so we
just re-use those results. If it doesn't exist in the global cache we
execute the query, which results in it being cached. This same caching
mechanism of query + arguments is used to stop infinite recursion, which is
a problem solved by the "tabling algorithm".
I'm very close to a nieve implementation that effectively uses a hashmap
as an ondemand cache of query results. The tabling algorithm actually
recommends a tree instead, claiming better performance. I'll try and
abstract the use of a hashmap so research in alternative "caching"
algorithms can be tried out, to see which gives better performance.
Further work can look into a heurstic cache to evict unused query+argument
results. When a query+arguments derivation tree is no longer used, we don't
want to make it available for GC straight away, instead we should use some
eviction queue that keeps around often requested query+argument derivation
trees, but evicting older and not used often ones for GC. The heuristics
would allow tuning of memory utilisation too, to stop the cache consuming
all the memory.
I believe Davide has more he'd like to see built on this, for out of the
box abductive reasoning. Btw this is probably more of a thread for the dev
mailing list :)
Mark
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