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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.
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7 Wonders Agent:A Proposal
Computer Science Thesis ProposalFall 2012
Ben GardinerAdvisor: Prof. Haiyan Cheng
Outline
I. Introduction and MotivationII. BackgroundIII. Rules for 7 WondersIV. Project ProposalV. 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
TimetableDate 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