OpenCog aims to provide research scientists and software developers with a common platform to build and share artificial intelligence programs. The long-term goal of OpenCog is acceleration of the development of beneficial AGI, a goal which includes developing tools and protocols for AGI safety. More at the OpenCog website.
The Final Wrap-Up Report on OpenCog's 2009 GSoC participation is here.
Links to students' projects are also found on the page GSoC Projects for 2009. The sourcecode produced by our students this year is linked to from this page.
These projects have been accepted into OpenCog sponsored by the Singularity Institute for Artificial Intelligence. You can learn more about each project by visiting the links below.
| Student | Title | Mentor | Status |
|---|---|---|---|
Python Interfaces For OpenCog Framework API |
Joel Pitt |
accepted |
|
Distributed and Persistent AtomSpace |
Linas Vepstas |
accepted |
|
Extending MOSES to evolve Recurrent Neural Networks |
Cassio Pennachin |
accepted |
|
Neurobiological data analysis in OpenBioMind |
Lucio de Souza-Coelho |
accepted |
|
Natural Language Generation using RelEx and the Link Parser |
Ben Goertzel |
accepted |
|
Integration of Language Comprehension with Virtual Agent Control in OpenCog |
Cassio Pennachin |
accepted |
|
Statistical Learning and Refinement of RelEx Graph Transformation Rules |
Linas Vepstas |
accepted |
|
Improved hBOA by integrating the BBHC and implement the simulated annealing algorithm |
Nil Geisweiller |
accepted |