Key Functor Model Architecture Documents

This is a collection of key documents for the Functor Model Architecture (FcMA). They are also uploaded individually which I did soon after creating each but for someone who wants the pertinent facts in one package, this should help. 1.) FunctorEquivalence.pdf - This is a very important item as it shows functor models have distribution equivalence with stochastic models and permit equivalent inference behavior under certain conditions. 2.) FunctorModelBrief_v2.2.pdf - A brief introduction to the functor model and shows an argument for reduction in energy usage. 3.) FRMpub.pdf - Preliminary work on functor reasoning models. 4.) FunctorEnsembles.pdf - Covers ensemble groupings of functor models and shows the significant simplicity of these ensembles when compared to existing machine learning. 5.) ProbabilityFunctor.pdf - Covers the probability functor model which offers similar types of inference as existing models thus backward compatibilty from the design viewpoint is maintained. There is also a deterministic functor model which some find odd but it seems quite useful so far in many cases. 6.) GNM_v3.pdf - Global Network Model which is really a pattern for offloading various tasks from LLMs.