Machine Learning Trial

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I read the chapters 6-7 of Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations by Yoav Shoham and Kevin Leyton-Brown to get a better idea of how I can implement empirical game theory and multi agent system that utilizes game theory.

I spent half of this weeks on getting the machine learning agents working; however, empirical game theory was a completely new field for me so I couldn’t get it to work with a 4-5 hour commitment. Although I was not able to implement machine learning this week, I do plan to finish what I started with a multi agent system that utilizes game theory.

Getting Ready For Design Expo

Expo Presentation

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Created presentation slides and speech for the expo.

The slides can be accessed here

Small Tweaks

Number of Games to play

  • Added a field to the main menu that dictates how many games are going to be played.

Better Location For Log Files

  • Adjusted where log files are stored in, for accessibility.

Game Settings

  • Tweaked costs and scoring to be optimal for a 20-score game.

Tie Breaking

  • Adjusted the tie breaking logic.

UI Adjustments

  • Made it so that the UI doesn’t shift into play-field in common screen ratios such as 16:9.

  • Added Title

Statistics Excel Files

  • Adjusted data analysis files for better accessibility.

Builds

Super Rock Paper Scissors can be downloaded here

Windows RPS_Windows.zip

Mac RPS_Mac.app.zip

Weekly Time Spent on Project SeeSaw

Day Hours Spent
Thu 0
Fri 0
Sat 0
Sun 0
Mon 1:00
Tue 4:00
Wed 4:00
TOTAL 9:00