Hi Joseph,
I suppose you should build opencog first
http://wiki.opencog.org/w/Building_OpenCog
(Ubuntu 14.04 is mentioned but I'm sure it works with more recent
versions of Ubuntu, or other distros, I'm running Debian for instance).
then run the examples under the atomspace and opencog repo
https://github.com/opencog/atomspace/tree/master/examples
(start by the pattern matcher, then the rule-engine, then what you want)
https://github.com/opencog/opencog/tree/master/examples
(any one you)
You may also want to go through the tutorial on the wiki
http://wiki.opencog.org/w/Hands_On_With_OpenCog
From there pick up the part you like the most and start studying, look
if there aren't some issues you'd like fix
https://github.com/opencog/atomspace/issues
https://github.com/opencog/opencog/issues
or ask the persons working on it to guide you for helping.
Note that there are other projects besides atomspace and opencog, like
moses, a program learner, see
https://github.com/opencog
for a complete list.
Enjoy.
Nil
On 07/06/2017 05:49 PM, Joseph Horner wrote:
I am a professional Software Engineering, but also a part time PhD
Student in Computer Science. I have been studying Evolutionary
Computation and Genetic Algorithms for years in undergrad and in my
master Program. I found the OpenCog users group a while back but have
not really had the time to dive in and contribute. I'm at a point
where I'd like to contribute and have the time to do so. After reading
Ben's books on Engineering General Intelligence I feel this is a solid
approach to achieving AGI as well and I'd like to help in any way that
is needed. What are some of the best approaches to understanding the
OpenCog software platform? Looking forward to learning more about
OpenCog and maybe help mature the technology to achieve true AGI.
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