OpenNARS-for-Applications
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opennars
General reasoning component for applications based on NARS theory.
Make multi-threading effective again. See if it can be used for temporal compounding in sensorimotor inference, which likely would bring the biggest performance gain.
Merge A and --A into the same concept as suggested by https://github.com/automenta , plus adding (-- B)> implication table that is maintained via observing non-negated events by using the equality...
Seeing whether we capture all RFT aspects regarding mutual entailment, symmetry, combinatorial entailment transitivity. While the former seems to work (as reverse.nal, reverse2.nal, whatis.nal, whatis2.nal, whereis.nal indicate), the latter might...
Hi! I've been reading about the various NARS implementations. I primarily work in C# and noticed ALANN but ONA seems to be the current development focus, correct? Is it possible...
Dear reviewer! To replicate results any POSIX-compatible OS with GCC or Clang C compiler, and Python3 implementation will work. **How to replicate results of the ONA vs. Q-Learning comparison** 1....
[Dissertation_PH_Submitted.pdf](https://github.com/opennars/OpenNARS-for-Applications/files/6832325/Dissertation_PH_Submitted.pdf)
I'm trying to understand the code but it has been hard so far due to lacking documentation. The wiki doesn't really explain any of the code and the code itself...
[PERCEPTION] Nalifier for automatic building of taxonomy from rich instances with numeric attributes
While NAL 1-3 is meant to be a logic of categorization, in practice the generic control mechanism built for contextual relational reasoning does not allow the reasoner to effectively identify...