Human-functioning models that describe human cognitive and psychological states have been developed and used to serve as a core component in creating intelligent and responsive systems. Endowing such systems with these human-functioning models, it gives them the ability to reason and intelligently acting to attain its ultimate design object which is to assist and support people. The process to integrate these models with new systems remains as a nontrivial challenging task. This paper pinpoints the initial steps of integrating an earlier developed agent-based model of cognitive load and reading performance with a robotic lamp. In regard to this matter, several algorithms that have been developed are also discussed and simulations that were performed to prove the applicability of the proposed algorithms are presented.