Rule-Based Object Pattern Game: A Knowledge Representation and Simple Reflex Agent Model in Educational Gameplay

This paper presents the development of a rulebased 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.