This hierarchical multi-level and multi-agent control system seems like a very well developed and promising qualitative model. Of course, the only way to check how applicable it is is to make it quantitative. Do you know of any effort to make this model more numerical, with clear inputs and outputs that do not rely on human interpretation?
I’m really delighted to hear that this seems like a very well developed model :) Actually I’m not aware of any published attempt to unite sub-agents with predictive processing framework in this l way even on the qualitative level, and it is possible this union is original (I did not found anything attempting to do this on google scholar or on few first pages of google search results)
Making it quantitative, end-to-end trainable on humans, does not seem to be feasible right now, in my opinion.
With the individual components
predictive processing is supported by a growing pile of experimental data
active inference is theoretically very elegant extension of predictive processing
sub-personalities is something which seems to work in psychotherapy, and agrees with some of my meditative experience
sub-agenty parts interacting in some game-theory-resembling way feels like something which can naturally develop within sufficiently complex predictive processing/active inference system
This hierarchical multi-level and multi-agent control system seems like a very well developed and promising qualitative model. Of course, the only way to check how applicable it is is to make it quantitative. Do you know of any effort to make this model more numerical, with clear inputs and outputs that do not rely on human interpretation?
I’m really delighted to hear that this seems like a very well developed model :) Actually I’m not aware of any published attempt to unite sub-agents with predictive processing framework in this l way even on the qualitative level, and it is possible this union is original (I did not found anything attempting to do this on google scholar or on few first pages of google search results)
Making it quantitative, end-to-end trainable on humans, does not seem to be feasible right now, in my opinion.
With the individual components
predictive processing is supported by a growing pile of experimental data
active inference is theoretically very elegant extension of predictive processing
sub-personalities is something which seems to work in psychotherapy, and agrees with some of my meditative experience
sub-agenty parts interacting in some game-theory-resembling way feels like something which can naturally develop within sufficiently complex predictive processing/active inference system