NARS (Non-Axiomatic Reasoning System) is a general-purpose reasoning system, coming from my study of Artificial Intelligence (AI) and Cognitive Sciences (CogSci).
What makes NARS 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, reacting, perceiving, categorizing, prioritizing, remembering, decision making, and so on.
The research results include a theory of intelligence, a formal model of the theory, and a computer implementation of the model.
The ultimate goal of this research is to build a thinking machine.
What is new:
- AGI-08 presentation - What do you mean by "AI"?
- Suggested Education for Future AGI Researchers - recommended readings
- A new book series - Thinking Machines: Studies in Computational Cognition
- Proceedings of AGI-08
- NARS becomes an open source project
- A group is established for discussions about NARS
- A manuscript on the theoretical foundation of NARS is developing into an E-book