The temporal difference horizon ~ C∞π(Rkπ), compounds some hierarchical causal fabric ~ η.
See Thought Curvature ('Supersymmetric Artificial Neural Network').
https://github.com/JordanMicahBennett/Supersymmetric-artificial-neural-network
https://jordanmicahbennett.github.io/Supermathematics-and-Artificial-General-Intelligence/
- https://github.com/JordanMicahBennett/SIMPLE-NEURAL-NETWORK
- https://github.com/JordanMicahBennett/MORPHING-SOMATIC-QUASICRYSTAL-PATH-ALGORITHM
- https://github.com/JordanMicahBennett/EJECTION-FRACTION-IRREGULARITY-DETECTION-MODEL
- https://www.quora.com/What-is-the-Manifold-Hypothesis-in-Deep-Learning/answer/Jordan-Bennett-9
- https://www.quora.com/Artificial-Intelligence-What-is-an-intuitive-explanation-of-how-deep-Q-networks-DQN-work/answer/Jordan-Bennett-9
- https://www.quora.com/How-does-quantum-computing-work/answer/Jordan-Bennett-9
http://mindparadoxlabs.appspot.com/
I haven't any belief, and thereafter, I haven't any belief in God or gods.
However:
God is scientifically redefinable, such that man occurs in the aforesaid redefinition.
As such, this model seeks to non-trivially contribute to the development of Artificial General Intelligence, as underlined in the god-redefinition document prior. Crucially, I don't claim that this model is nearly complete/sensible enough to describe AGI, although I seek that the "Supersymmetric Artificial Neural Network", an essential part of this model, while optimally contributing to AGI research in the representation learning space, perhaps become as influential as for example, the convolutional neural network reasonably invented by Yann Lecun.