static void doTileZeroSimulation()
{
string adaptID = "Game difficulty - Player skill";
string gameID = "TileZeroSimul";
string playerID = "EvolvingAI";
// [SC] do not update xml files
bool updateDatafiles = false;
// [SC] to randomly decide which player moves first
Random rnd = new Random();
// [SC] creating a game object
Game tzGame = new Game();
// [SC] disable logging to speed-up simulation
Cfg.enableLog(false);
double numberOfSimulations = 10;
double numberOfMatches = 400; // [SC] the number of games to be played with each AI evolution
int playableTileCount = 54;
double minRT = 60000;
double distMean = 0.75;
double distSD = 0.1;
double lowerLimit = 0.5;
double upperLimit = 1.0;
// [SC] a player is represented by an AI evolving from Very Easy AI to Very Hard AI
string[] aiOneEvolution = { TileZero.Cfg.VERY_EASY_AI
, TileZero.Cfg.EASY_AI
, TileZero.Cfg.MEDIUM_COLOR_AI
, TileZero.Cfg.MEDIUM_SHAPE_AI
, TileZero.Cfg.HARD_AI
, TileZero.Cfg.VERY_HARD_AI };
// [SC] start simulations
for (int simIndex = 0; simIndex < numberOfSimulations; simIndex++)
{
TwoA twoA = new TwoA(new MyBridge());
twoA.SetTargetDistribution(distMean, distSD, lowerLimit, upperLimit);
double avgAccuracy = 0;
// [SC] start AI player evolution from easiest to hardest
foreach (string aiOneID in aiOneEvolution)
{
// [SC] play a number of games before eacg evolution
for (int matchIndex = 0; matchIndex < numberOfMatches; matchIndex++)
{
// [SC] get a recommended opponent AI from TwoA
string aiTwoID = null;
aiTwoID = twoA.TargetScenarioID(adaptID, gameID, playerID);
Cfg.clearLog();
// [SC] start one match simualtion
int startPlayerIndex = rnd.Next(2); // [SC] decide whether the player or the opponent moves first
tzGame.initNewGame(aiOneID, aiTwoID, playableTileCount, startPlayerIndex);
tzGame.startNewGame();
// [SC] simulate player's response time
SimpleRNG.SetSeedFromRandom();
double rt = SimpleRNG.GetNormal(120000, 10000); // [SC] max is 900000
if (rt < minRT)
{
rt = minRT;
}
// [SC] obtain player's accuracy
double correctAnswer = 0;
if (tzGame.getPlayerByIndex(0).WinFlag)
{
correctAnswer = 1;
}
avgAccuracy += correctAnswer;
printMsg("Counter: " + (matchIndex + 1) + "; Start index: " + startPlayerIndex);
//printMsg(TileZero.Cfg.getLog());
// [SC] update ratings
twoA.UpdateRatings(adaptID, gameID, playerID, aiTwoID, rt, correctAnswer, updateDatafiles);
}
}
printMsg(String.Format("Accurracy for simulation {0}: {1}", simIndex, avgAccuracy / (numberOfMatches * aiOneEvolution.Length)));
// [SC] creating a file with final ratings
using (StreamWriter ratingfile = new StreamWriter("S4/ratingfile" + simIndex + ".txt")) {
string line = ""
+ "\"ScenarioID\""
+ "\t" + "\"Rating\""
+ "\t" + "\"PlayCount\""
+ "\t" + "\"Uncertainty\"";
ratingfile.WriteLine(line);
foreach (string scenarioID in aiOneEvolution)
{
line = ""
+ "\"" + scenarioID + "\""
+ "\t" + "\"" + twoA.ScenarioRating(adaptID, gameID, scenarioID) + "\""
+ "\t" + "\"" + twoA.ScenarioPlayCount(adaptID, gameID, scenarioID) + "\""
+ "\t" + "\"" + twoA.ScenarioUncertainty(adaptID, gameID, scenarioID) + "\"";
ratingfile.WriteLine(line);
}
}
// [SC] creating a file with history of gameplays including player and scenario ratings
using (StreamWriter datafile = new StreamWriter("S4/datafile" + simIndex + ".txt")) {
GameplaysData gameplays = twoA.GameplaysData;
TwoAAdaptation adaptNode = gameplays.Adaptation.First(p => p.AdaptationID.Equals(adaptID));
TwoAGame gameNode = adaptNode.Game.First(p => p.GameID.Equals(gameID));
string line = ""
+ "\"ID\""
+ "\t" + "\"PlayerID\""
+ "\t" + "\"ScenarioID\""
+ "\t" + "\"Timestamp\""
+ "\t" + "\"RT\""
+ "\t" + "\"Accuracy\""
+ "\t" + "\"PlayerRating\""
+ "\t" + "\"ScenarioRating\"";
datafile.WriteLine(line);
int id = 1;
foreach (TwoAGameplay gp in gameNode.Gameplay)
{
line = ""
+ "\"" + id++ + "\""
+ "\t" + "\"" + gp.PlayerID + "\""
+ "\t" + "\"" + gp.ScenarioID + "\""
+ "\t" + "\"" + gp.Timestamp + "\""
+ "\t" + "\"" + gp.RT + "\""
+ "\t" + "\"" + gp.Accuracy + "\""
+ "\t" + "\"" + gp.PlayerRating + "\""
+ "\t" + "\"" + gp.ScenarioRating + "\"";
datafile.WriteLine(line);
}
}
}
}