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“Artificial Intelligence usually beats real stupidity.”- Anonymous Theory

By Bradley Achorn, Weston Viles and Adam Duncan

Abstract

We set out with the notion that the ability to learn is a primary facet of intelligence. It did not take long to decide that combining that with playing a game would make an interesting project. After some brainstorming, we decided that Cribbage would be an interesting game to implement – simple rules, but with 52 cards and multiple ways to score, it stays interesting. We soon realized that essentially, choosing which card to throw away and pegging are two very different parts of the game. Though they are not quite independent – you may decide not throw away cards that are good for pegging, or usually people do not throw away fives, and so you are slightly more likely to end up with fives in your hand than other cards – we decided that they could essentially be considered two separate “games”. We chose to focus just on pegging, since when pegging you can ignore the suit of the card, which makes representing cards much easier. Ignoring the suit, we simply represented each card as a number 1 – 13, and only allowed a maximum of 4 of each card when dealing the hands. We went over several learning algorithms described in our textbook, and in the end decided on decision trees because we easily understood them, and thought that the

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.1783
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