1. 7 Wonders Agent: A Proposal Computer Science Thesis Proposal Fall 2012 Ben Gardiner Advisor: Prof. Haiyan Cheng

2. Outline I.Introduction and Motivation II.Background III.Rules for 7 Wonders IV.Project Proposal V.Timeline

3. Introduction Look to inspiration from previously taken classes. Machine Learning class focused on artificial intelligence, through the game Go. Games other than Go are more interesting to me. Goal: Combine love of games with senior research project.

4. Motivation Use model to represent decisions. Gameplay provides an ideal model for decisions. Creating an AI that plays a game is simpler than creating an AI for a real-world task.

5. Background

8. Euro-Games

9. 7 Wonders Rules

10. 7 Wonders : a Wonder

11. Modified Rules Proposal Have 3 “Generations” of modified rules. Write the agent for the simplest rule set. Augment the agent for each more complicated rule set. Use the Monte-Carlo tree search approach.

12. Simplified Rules Ignore the “Wonder” Players cannot “Buy” resources from neighbors

13. Simplified Rules 2 Purchase Resources from Neighbors

14. Final (Full) Rules Wonder can be built Cards can be built for free

15. Timetable DateDeliverable 14-JanFirst Day of Classes 31-JanInitial game rules implemented 14-FebAgent for initial rules completed 28-FebSecond iteration of rules implemented 14-MarSecond Agent Implemented 28-MarThird Generation Rules 11-AprThird Agent Implemented 17-AprSSRD 5-MayFinal Deadline