Information Measurement Theory (IMT) is a concept which was devised for the purpose of understanding how information works in the universe. At its core, it states that 100% of information exists in the universe at any one time, and with enough perception, any event can be predicted based on the initial conditions preceding the event. With this idea in mind, the author of IMT developed the Kashiwagi Solution Model (KSM) which deals with how people best utilize the information present in the universe. Simply put, the ideas presented by KSM encourage people to think in a more logical manner through the utilization of relevant information. The following thesis details an autobiographical case study which focuses on the life of a college student undergoing severe depressive symptoms during the course of their academic career. The usage of concepts stemming from IMT and KSM are then used to determine the root causes of the depression in order to prevent it from ever happening again. The case study acts as a guide to others in order to better help them deal with similar situations that are happening with their lives while providing evidence that the concepts detailed by IMT and KSM are factually relevant.
- Utilizing IMT and KSM to Understand the Causes of Depression