1. Motivate AI Class with Interactive Computer Game Author ： Akcell Chiang Presented by Yi Cheng Lin

2. Outline Introduction Case-based Reasoning (CBR) System Architecture Experiment Evaluation Conclusion

3. Introduction Commercial interactive games is one of the major entertainment in our society, the game annual expense is more than the film industry for a family in average This paper reports adapting traditional Pacman game with Machine Learning technology Case-based Reasoning (CBR) to provide student learning motivation in the AI subject teaching

4. Case-based Reasoning (CBR) Case-based reasoning (CBR) is the process of solving new problems based on the solutions of similar past problems

5. System Architecture

6. environment Brick puzzle world, the whole system running-map consists of a 15x15 rectangular grid,

7. System architecture diagram

8. System shared running-map diagram

9. CBR case representation

10. Similarity function Similarity (T, S ) = f (Ti, Si ) = (1 - |Ti – Si | / 15) * 4

11. Case Acquisition With 5x5 individual perceptions, the system will have only 5x5x4x4 equals to 400 different results If the system only adopts 100 cases then the system may only give the CBR agent ¼ chances to find the right move the study decides to set up an 85% similarity of learning threshold while the study doing the 100 case training

12. Case Acquisition For helping CBR agent find better suggestion, the study decides to adopt more cases with higher recognition rate in the bonus less areas with 200 cases and over 90% learning threshold, at least, the CBR agent will have ½ chance to find the right suggestion

14. Case database refine the study finds out there is an overfiting problem of 200 cases CBR agent since it did not has better choice in some critical moves The study therefore, decides to prune 200 cases of redundancy into 165 refining cases

16. Experiment

17. Evaluation 100 cases200 cases

18. Conclusion The study expects this temptation is just the beginning for applying computer games in teaching AI and CBR technologies in IT education The advantage of AI project or assignment is that the experiment has to adopt human competition experience