This project is a continuation of Pei Wang's NARS project.

What makes this system different from conventional reasoning systems is its ability to learn from its experience and to work with insufficient knowledge and resources.

NARS attempts to uniformly explain and reproduce many cognitive facilities, including reasoning, learning, planning, etc, so as to provide a unified theory, model, and system for AI as a whole.

The ultimate goal of this research is to build a thinking machine.

This project is still at the conceptual design stage. If you are interested to join this research, the best place to start reading is the publications, not the source code.