Cognitive Models of Emotionally Labeled Compositional Design

In this paper, we discuss the design of a cognitive model for emotionally labeled compositional design using sensory to auditory, visual and associative cortex pathways and a limbic system based model of neutral emotion processing. The auditory cortex portion of the model is trained uisng data based on music (neutral, happy, sad and angry); the visual cortex, data based on three layered paintings (neutral, happy, sad and angry); and the associative cortex, data based on genetic optimization plans for job scheduling with intangible labeling (neutral, contented, demoralized and antagonistic). The outputs from the cortex models combine with the outputs from the limbic system. The training data we use provides three sets of emotionally labeled emotional outputs to constrain the output of the limbic system. The music and painting based data provides constrains the basic emotional outputs of the limbic system which we label as happy, sad and angry, while the genetic optimization data constrains higher level qualia. The full system then provides outputs which given a starting musical, painting or optimization element, autonomously generate a full musical phrase, a painting or an optimization plan for job scheduling in a chosen emotional state. There are two goals to this research: first, provide a basic model of emotionally labeled compositional design ; and second, use this model also as a fundamental building block in a more general model of cognition for use in the study of cognitive dysfunction.