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[Savannah-register-public] [task #8915] Submission of sayphi
From: |
Tomas de la Rosa |
Subject: |
[Savannah-register-public] [task #8915] Submission of sayphi |
Date: |
Thu, 11 Dec 2008 17:08:04 +0000 |
User-agent: |
Mozilla/5.0 (X11; U; Linux i686; es-ES; rv:1.9.0.3) Gecko/2008092510 Ubuntu/8.04 (hardy) Firefox/3.0.3 |
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
_______________________________________________________
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
_______________________________________________________
Reply to this item at:
<http://savannah.gnu.org/task/?8915>
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