Robot World
Abstract: My project is an agent based simulation, posing robots in a “game of life”, with each new generation of robot comes new genes using a random number selection process creating the mutations and evolutions that in real life we experience for DNA
cross over and such.

The Game: There is the above stated “simulation” version of my program, and a later created “game” version. The game version includes all the same components as the simulation but also has a user controlled robot with “laser eyes” and “grenade launchers”
use to kill the other robots. It also includes “Bosses”. The Process: Taking the simulation version and modifying it was easy, first removing the natural deaths and graph. Then I
introduced and tweaked the user controls and the user controlled robot. Then adding lasers and grenades and all the necessary coding, i finally added a status display embedded window in the top left corner. I continually add new pieces of flare to the
program, such as bosses.

Three different views of the simulation.
Graph of population outputted by the simulation.
The Simulation: As stated in my abstract.
The Process: The base of my program was not the genetics,
but the graphics itself. First one robot, then a random A.I.
for it. I then modified the world to sustain several robots,
with dying a breeding. After introducing 2 more A.I.s a
“group” A.I. and a “battery” A.I. promoting grouping and
collecting batteries selectively.
I then tweaked the environment and code until it
could sustain life. I then programed in several possible
places for environmental interaction, like viruses and the
batteries. I added the graphical output for easier analysis.
Finally I created the random number selection process to
splice the genes of the parents and create a child. The heart of
the program.
Blake Bredehoft
2004-2005