public void bayesExpand(Pelilauta lauta) {
double[] values = new double[Pelilauta.getKoko() * Pelilauta.getKoko()];
int[] strengths = new int[values.length];
children = new NodenLapset();
double boardSum = 0.0;
int strengthOfPrediction = 0;
Node newNode;
for (int i = 0; i < values.length; i++) {
values[i] = Pattern.valueOf(Pattern.match(lauta, Pelilauta.toX(i), Pelilauta.toY(i)));
strengths[i] = Pattern.getSeenTotal(Pattern.match(lauta, Pelilauta.toX(i), Pelilauta.toY(i)));
boardSum += values[i];
strengthOfPrediction +=
Pattern.getSeenTotal(Pattern.match(lauta, Pelilauta.toX(i), Pelilauta.toY(i)));
}
Pelilauta testiLauta;
double difference;
int differenceInStrength;
for (int i = 0; i < values.length; i++) {
if (!PlacementHandler.onkoLaillinenSiirto(lauta, Pelilauta.toX(i), Pelilauta.toY(i))) {
continue;
}
difference = 0.0;
differenceInStrength = 0;
testiLauta = lauta.kopioi();
PlacementHandler.pelaaSiirto(testiLauta, Pelilauta.toX(i), Pelilauta.toY(i));
for (int x = -1; x < 2; x++) {
for (int y = -1; y < 2; y++) {
if (Pelilauta.onLaudalla(Pelilauta.toX(i) + x, Pelilauta.toY(i) + y)) {
difference +=
values[i]
- Pattern.valueOf(
Pattern.match(testiLauta, Pelilauta.toX(i) + x, Pelilauta.toY(i) + y));
differenceInStrength +=
strengths[i]
- Pattern.getSeenTotal(
Pattern.match(testiLauta, Pelilauta.toX(i), Pelilauta.toY(i)));
}
}
}
newNode = new Node(lauta, Pelilauta.toX(i), Pelilauta.toY(i));
newNode.raveVierailut =
(int) Math.round(Math.log(strengthOfPrediction - differenceInStrength) * 1000);
if (lauta.getTurn() == Pelilauta.MUSTA) {
newNode.raveVoitot =
(int)
Math.round(
newNode.raveVierailut * (1 / (1 + Math.pow(Math.E, boardSum - difference))));
} else {
newNode.raveVoitot =
(int)
Math.round(
newNode.raveVierailut
* (1 - (1 / (1 + Math.pow(Math.E, boardSum - difference)))));
}
if (1.0 * newNode.raveVoitot / newNode.raveVierailut > 0.44) {
children.addNode(newNode);
}
}
children.setMaxKoko(branchingFactor);
Node passaus = new Node(lauta, -1, -1);
children.addNode(passaus);
children.sort();
}
