Transcript 7 Wonders Agent: A Proposal

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