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7 Wonders Agent: A Proposal Computer Science Thesis Proposal Fall 2012 Ben Gardiner Advisor: Prof. Haiyan Cheng Outline I. II. III. IV. V. Introduction and Motivation Background Rules for 7 Wonders Project Proposal Timeline 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. 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. Background Euro-Games 7 Wonders Rules 7 Wonders : a Wonder 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. Simplified Rules • Ignore the “Wonder” • Players cannot “Buy” resources from neighbors Simplified Rules 2 • Purchase Resources from Neighbors Final (Full) Rules • Wonder can be built • Cards can be built for free Timetable Date Deliverable 14-Jan First Day of Classes 31-Jan Initial game rules implemented 14-Feb Agent for initial rules completed 28-Feb Second iteration of rules implemented 14-Mar Second Agent Implemented 28-Mar Third Generation Rules 11-Apr Third Agent Implemented 17-Apr SSRD 5-May Final Deadline
