While you haven't expressed the source of your intuition, based on your answers, you see the architecture of human-designed systems, which are engineered based on economic considerations, as being predictive of what natural systems are like.
This is not, generally speaking, true.
Even when built on standard computing architecture, we see that designs influenced by evolutionary design can result in "bizarre, mysterious, and unconventional" designs. I'm quoting from Thompson and Layzell's "Analysis of Unconventional Evolved Electronics" (1999). In that paper, note that the evolve system had a different response to temperature change than the "brittle failure" of normal digital circuits. System crashes like what you describe are "brittle".
Evolution, by human design senses, is incredibly wasteful. We are not going to build computers or distributed computing systems that way, hence any intuition based on those design principles are likely not applicable.
You asked "How can natural selection have a bias that prevents deadlocking in neural compositions?"
The "how" is easy - organisms with hard crashing deadlocks don't reproduce.
You want to know what that mechanism is, which is a different question.
If you really want to understand this, you'll have to talk to biologists who focus on this sort of topic, not a "hacking news" sites.