adaptive_game_control

ChEn 436 Process Control final project: adaptive game difficulty

The basic file structure here is as follows:

sim.py implements the basic gameplay simulation, as well as classification system and PID control system.

main.py takes two command line arguments, an int from 1 to 10 for skill and r, c, or m for play style. It will run a simulation with those parameters, and generate and save some plots about that simulation. (It calls plt.show, so depending on where you run the code, it will probably also show you the plots.)

params.py is used to run a large number of simulations, for the purpose of gathering statistics; it also uses those simulations to determine values for process gain $K_p$ and time constant $\tau_p$. (The generated values are stored in params.txt here, so you do not need to run this unless you want to recalculate $K_p$ and $\tau_p$. The simulation results are all stored in sim_results folder.

trends_gen.py generates the reference file which our classification system uses. (Again, we have provided this output, trendslist.data, which is a pickled Python list, so you do not need to run this file.) It uses saved output files from params.py, so if you choose to run this, you should run params.py first.