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implementing game playing agent for Barbie Seahorse Adventure game.

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This is an AI implementation of Barbie Seahorse Adventure game by The Olde Battleaxe.

original version of game: http://www.imitationpickles.org/barbie/ (This game is not owned by me)

This is my senior project of my 4th year in university.
The AI is implemented by NEAT algorithm using NEAT-python.
The game's code have been modified to communicate with AI.
You can replay the trained AI by edit 'lib/main.py' at SELECT_LEVEL to the level you want to replay then run 'python run_game.py' at main folder.
The files that have been modified from the original game are 'main.py', 'level.py', 'player.py', 'agentConnect.py'. 
Hope this repository will be another example of AI implementation in Python game.
If you have questions about this project you can DM me.

-------------------------------------------------------------------------------------------------------------------
Bubble Kong
============

Entry in PyWeek #4  <http://www.pyweek.org/4/>
Team: The Olde Battleaxe
Members: philhassey, pekuja, tim, drpetter, gerry

(for the original source, and level editor)
svn://www.imitationpickles.org/pyweek4/trunk

DEPENDENCIES:

You might need to install some of these before running the game:

  Python:     http://www.python.org/
  PyGame:     http://www.pygame.org/


RUNNING THE GAME:

On Windows or Mac OS X, locate the "run_game.pyw" file and double-click it.

Othewise open a terminal / console and "cd" to the game directory and run:

  python run_game.py

-full : to run in windows mode
-scale2x : to not scale it 2x
level.tga : to play a certain level

HOW TO PLAY THE GAME:

Use your arrow keys to
move the seahorse.
Button 1 - Jump 
Button 2 - Shoot
            
Enemies take 3 shots unless
you are powered up!  You can
ride enemy bubbles.


LICENSE:

(c) 2007 The Olde Battleaxe & Friends

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