Visualizing concept and inheritance networks as the system learns

[digikar99]

opennars-lab GUI seems to have a facility for visualizing how the inheritance or concept network evolves as the system learns. Is there an equivalent in ONA yet?

[patham9]

One can pipe the *concept command output to concept_usefulness_filter.py and pipe it from there to concepts_to_graph.py.
Examples can be seen in https://github.com/opennars/OpenNARS-for-Applications/wiki/Misc-Scripts
Example graph outputs have been part of v0.8.7 release message: https://github.com/opennars/OpenNARS-for-Applications/releases/tag/v0.8.7

[patham9]

However: While *concepts output can be recorded at multiple times while the system is running, it would need a new or updated script to cover the dynamic updating of the graph in the visualization, the Matplotlib library might also not be ideal for this purpose. I will leave this issue open as this has not yet been developed.
But also, due to concept_usefulness_filter.py it tends to be more useful already than the previous real-time visualizations.