Unlocking the Science of Emotions through Pattern Recognition: Establishing Emotions as a Proper Field of Study

This study investigates the hypothesis that emotions are expressions of the combinatorial code language of internal representation for the mind. It suggests that emotions are a result of pattern recognition outputs of the nervous system, and Expert-AI, an expert system used in diagnosing 225 different eye diseases, serves as the background for the proposed views.  The paper proposes that combinatorial memories in nerve cell axon hillocks may use pattern recognition through an algorithmic search process. The nervous system is suggested to function under a combinatorial recognition model that enables the retention and recall of complex memories, rather than the conventional linear summation model. The study explores the historical view of emotions, the various patterns of emotions, and the behaviors triggered by emotions through pattern recognition. It hypothesizes that human emotions are the result of massive memory and pattern recognition capabilities of the nervous system, with emotions as expressions of the common combinatorial code language of internal representation.