[Savannah-register-public] [task #8915] Submission of sayphi

[Tomas de la Rosa]

URL:
  <http://savannah.gnu.org/task/?8915>

                 Summary: Submission of sayphi
                 Project: Savannah Administration
            Submitted by: tomdelarosa
            Submitted on: Thu Dec 11 17:08:03 2008
         Should Start On: Thu Dec 11 00:00:00 2008
   Should be Finished on: Sun Dec 21 00:00:00 2008
                Category: Project Approval
                Priority: 5 - Normal
                  Status: None
                 Privacy: Public
        Percent Complete: 0%
             Assigned to: None
             Open/Closed: Open
         Discussion Lock: Any
                  Effort: 0.00

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Details:

A new project has been registered at Savannah 
This project account will remain inactive until a site admin approves or
discards the registration.


= Registration Administration =

While this item will be useful to track the registration process, *approving
or discarding the registration must be done using the specific Group
Administration
<https://savannah.gnu.org/siteadmin/groupedit.php?group_id=10102> page*,
accessible only to site administrators, effectively *logged as site
administrators* (superuser):

* Group Administration
<https://savannah.gnu.org/siteadmin/groupedit.php?group_id=10102>


= Registration Details =

* Name: *sayphi*
* System Name:  *sayphi*
* Type: Official GNU software
* License: GNU General Public License v2 or later

----

==== Description: ====
SAYPHI is planning and learning architecture for heuristic planning research
purpose. It includes a forward state-space heuristic planner like FF planner.
It has a set
of search algorithms that could be used with the pluggable heuristic of the
system. SAYPHI, also includes two include two learning systems to improve the
planner performance.  CABALA is a Case-based Reasoner that learns abstracted
state transitions in order to guide algorithms with a domain-dependent learned
knowledge. ROLLER is learning system that acquires knowledge in form o
relational decision trees. These trees are generalized policies that could be
used within the search to speed-up
the learning process.



==== Tarball URL: ====
http://www.plg.inf.uc3m.es/~trosa/software/sayphi.tgz






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