Free will re-redux

[Laird]

I am actually working on one myself utilising my previous node-path uncertainty model which seems to have a point, at infinity, where path prediction certainty becomes zero which would actually make it possible to have a decision path which was  mathematically indeterminate, yet non random and I've noticed some extra things you can do with that which might actually have real world applicability in neuroscience, or other non-infinite node arrays if I'm correct. It more or less offloads that infinite or "liquefied" system to the weighting that nodes use to decide when to pass to other nodes, and if so, and if neurons have quantum systems that affect the synapse process, such as affecting excitation threshold or spiking, then you might be able to have a limited node array that partially relies on an indeterminate yet non random process, making the resulting array itself at least partially the same.

Here's a simpler and better proof:

1. If a concept is conceivable without contradiction, then it is (logically) possible.
   
2. Non-random, non-necessary decisions are conceivable without contradiction.
   
3. Therefore, non-random, non-necessary decisions are (logically) possible.