The purpose of this thesis was to design a framework for an adaptive cabin management system that is further explored through a study of light intensity. With the goal of passenger comfort, the system developed would adjust lighting to an average setting and further adapt to an individuals preference. A fuzzy inference system was implemented that utilizes DGI, the passengers age, chronotype and the activity on board to calculate a light intensity. A reinforcement system was then developed to tune the fuzzy inference system parameters (mean and output value K) utilizing a lighting override from the passenger. A cabin mock up was then setup to observe the correctness and effectiveness of the system developed. Overall, the system designed tuned accurately and effectively in all case scenarios tested with varying learning rates. This thesis was concluded with discussions of future work that could further improve the implementations within a cabin