Mirrored Language Structure and Innate Logic of the Human Brain as a Computable Model of the Oracle Turing Machine

Wen, Han Xiao

arXiv.org Artificial Intelligence 

As A Computable Model Of The Oracle Turing Machine Han Xiao Wen Weimingbosi Corporation PKU Biocity No. 39 Shang Di Xi Lu, Haidian Beijing, 100085 China 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. A concept of mirrored language structure for the human brain has already been proposed by Chomsky [4] as Universal Grammar (UG). His model consists of a hierarchical (deep and surface) dual language structure and a possible set of innate rules.

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