This case study focuses on abstract algorithmic mechanisms, which modify Logical Part of Brain and abstract Decision Making Process. Algorithmic mechanisms of Instincts and Superego modify neurobiology of Decision Making.
External environmental forces always affect Superego Adjuster, Primary Instincts, and Genetic parameters. Superego Adjuster refers to an instance of the following parameters: (Religions, Life Philosophy, Psychoanalytic Aspects, Austere Lifestyle, cultural paradigms, Power and Materialistic World View). They can modify the status of the Superego.
Superego functions as a sensor and it can either abolish or provoke optimal performances for Secondary Instinct. The Superego restrains both certain functions in Secondary Instincts and instance of Primary Instincts. For example, Secondary Instinct cannot call Associated Primary Instincts and activate them.
Genetic Algorithms can either abolish or provoke performances for Secondary Instinct; therefore, performance status of Secondary Instinct depends on two feedback channels. Genetic Algorithms and Superego determine which Primary Instincts become active.
The Logical Part of Brain is modified by abstract Superego and instinct algorithmic mechanism. Patterns of segmental modification build Decision Making capability through Logical Part of Brain. Optimal modification model leads to optimal Decision Making process. Homogeneous parameters in Decision Making model enhance best practices in developing a positive Social Behavior.