This paper presents the development of a rule based educational game, "Rule-Based Object Pattern", designed to introduce the concepts of Knowledge Representation and Simple Reflex Agents in artificial intelligence. The game utilizes structured object attributes such as color and shape, and a simple agent applies predefined if then rules to predict object sequences. The aim is to demonstrate how AI agents can use represented knowledge for decision-making and reasoning, fostering early AI literacy through interactive gameplay. The system was developed using Unity 3D and evaluated via student feedback and agent performance metrics.
Knowledge Representation, Reflex Agent, Rule Based System, AI Education, Game Based Learning, Unity 3D.