Harry00

The MLE-Morpho-Logic-Engine is built on several landmark papers in neural computing and vector logic:

: This work details how to perform "binding" of information (connecting concepts) using circular convolution, a technique Harry00 utilizes for bitwise reasoning without standard backpropagation. harry00

: This foundational paper introduces a mathematical model for human long-term memory using high-dimensional binary vectors and Hamming distance for addressing. harry00

If you are looking for "long papers" or theoretical foundations related to this specific work, you should focus on the core research papers that Harry00 cites as the engine's theoretical basis. Theoretical Foundations of Harry00's MLE harry00

: It avoids traditional training data and GPU-heavy gradients.