Thank you for your interest in working with LOGICMOO!   We are implementing AGI with a whole new methodology devised after 30+ years of research.   

If you came here from outside you may want to first read our Introduction to find out where we have our discussion forums.

Every week or so we update a list of needs for the project ToDo Here. 

Source Code Access for Devs

With your GitHub member name add a new Issue at  https://github.com/logicmoo/logicmoo_workspace/issues/new  with the title:   

Membership: @yourname

For large file pushes  also Join Us on Gitlab!

Semi-Technical Overview

In the very simplest description there is a Nomic-MU (Game World) for the LM489 (AGI Bot) and the player to interact. Developed from Franken-SWISH notebook.

You'll want to take a look at the Intro to LOGICMOO Modules to create AGI

Then you should see this Platform Overview.

It's important to understand that LOGICMOO is a "representational-ist" cognitive architecture that uses several multi-coding agents. For information about existing cognitive architectures see Psychologically Inspired Symbolic Cognitive Architectures. The LOGICMOO system is similarly complex. 

Developer Skills and Knowledge

We'd love to have you and if you're looking for a project that will push you to hone and learn new skills this is probably it.   (see also our guide for non-programmers) If you want to really understand the larger how and why of every detail you will need both a Logic and Programming skillset - LOGICMOO implements a paraconsistent open world defeasible modal temporal epistemological deontic logic.

You'll need to be at least comfortable with some Knowledge/Ontology Representation Language(s), Discursive Logic(s).  And for the deep software development you'll need to learn Prolog, Picat, or Answer Set Programming (like DLV.)  We have started to compile a Developer Study Guide to get you started.

 Fill out our "Future Meetings" Survey