We wish to present a mirrored language structure (MLS) and four logic rules determined by this structure for the model of a computable Oracle Turing machine. MLS has novel features that are of considerable biological and computational significance. It suggests an algorithm of relation learning and recognition (RLR) that enables the deterministic computers to simulate the mechanism of the Oracle Turing machine, or P = NP in a mathematical term.
@article{arxiv.1006.2495,
title = {Mirrored Language Structure and Innate Logic of the Human Brain as a Computable Model of the Oracle Turing Machine},
author = {Han Xiao Wen},
journal= {arXiv preprint arXiv:1006.2495},
year = {2010}
}