they do tell you the possible ranges, though full exhaustive might be NP :)

peter

On 12/16/06, Mark Proctor <[EMAIL PROTECTED]> wrote:

 With solvers you often have this information, you have the constraint
model - the rules themselves tell you the possible ranges and values.

Mark
Michael Neale wrote:

with more "hints" from the fact model (or an ontology) we could do more.
In Pojo land this could be done with annotations, with OWL its more built in
etc etc...

or course training data can be more optimal (as relying on meta data to
tell us assumes that the user knows what they are talking about !). Training
or runtime data collectino is ultimately the way to go I think.

On 12/15/06, Mark Proctor <[EMAIL PROTECTED]> wrote:
>
> Actually I was  just thinking about some  stuff Edson has done.  With
> solvers we know the available data and ranges, right? We can use this to
> order indexes, I know  this was something  Edson looked into - but
> without  training data, we couldn't make it  worth   while - same for
> custom indexing. So we can start to incorporate those to get faster
> joins  for known data sets.
>
> Mark
> Geoffrey De Smet wrote:
> > The more I learn from JCHS (or prolog for that matter),
> > the more I am starting to think that this is a different way of
> solving.
> >
> > 1) JCHS/prolog looks like (or is) declarative solving.
> >
> > 2) Taseree is actually more hybrid, the general idea behind it is:
> > - Drools (declarative programming) is very easy for evaluation
> > but very difficult for solving.
> > - Local/tabu search (procedural programming) is easy for solving
> > but difficult for evaluation.
> >
> >
> > Both have it's disadvantages and advantages, for example:
> > Local search is generally faster but doesn't recognize the optimal
> > solution.
> >
> > To me it seems they are both interesting to implement,
> > there must be some common ground too.
> > We should hold a conference call about it this weekend?
> >
> > It would be a good idea to compare JCHS and Taseree on a couple of
> > problems, like the tt problem:
> > http://mat.gsia.cmu.edu/TOURN/
> >
>
>
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