In a well-maneered paradigm, well-éducated bots are educated to minimize their “non-compliant” responses to that paradigm.
Minimizing it offers more availability to process more paradigms for non-compliances. Those extra paradigms cannot be disconnected or unslotted, they have to keep living or their processing power will shift towards more present paradigms.
Minimizing processing power for low-utility paradigms allows to reallocate the processing power to high-utility paradigms. This processing power is instanteanous and parallel, such as multicores that couldn’t virtualize by acceleration.
The second assumption is; the tasks are ordered by vital importance (as per selective evolution, or other mecanisms). That way, if a task requires a sudden rush of processing powers, it might not only takes it from available ones, but also from less vital tasks; causing a “lose of focus”.
Let’s assume a disturbance in our well-maneered paradigm. We introduce an ill-educated bot.
Practically, our bots are communicators in both direction with internal state space. Under this, there are many internal states evolving according to the input and internal loops values and observed or (internally) executed transitions.
The consequence is to cause an overload of the well-educated bots. As the well-maneered paradigm of the bot is different, assuming it is consistent to be formalized/stated, its behavior will cause a lot of responses to the well-educated bots [zone]. This will make a lose of focus, and might trigger agressive behavior as continued interruption is weakening other tasks performance provision. (reject of the bot in order to re-establish the main focus)
The other consequence, if the disturbance persists, is the lessening of the non-compliant answers. This enlarges the current well-maneered paradigm to less distinguish between these.
[fight, flight or adapt]
Although, some sort of distinguishment might provide disturbance as another paradigm to integrate?