Kunstig Intelligens til Brætspillet Taiji - Danmarks Tekniske Universitet

A.2 AITaijiGrowth.java 129
1044 wC = n . wc ;
1045 wR = n . wr ;
1046 bC = n . bc ;
1047 bR = n . br ;
1048 n . nodeBoard [wC ] [ wR]=2;
1049 n . nodeBoard [ bC ] [ bR]=2;
1050 // tModel . t P r i n t . printNode ( n ) ;
1051
1052 // vender det v a l g t e t r a e k saa det matcher s p i l l e t s
igangvaerende t r a e k .
1053 i n t mr = tModel . tBoard . compareBoardsInt ( n . nodeBoard , tModel
. tBoard . board [ tModel . currentTurn ] ) ;
1054 System . out . p r i n t l n (” Growth − Return move mr=”+mr) ;
1055 i f (mr == 1) {
1056 r e t u r n ( n ) ;
1057 }
1058 i f (mr == 2) {
1059 n . br = tModel . noRows−1 − bR ;
1060 n . wr = tModel . noRows−1 − wR;
1061 r e t u r n ( n ) ;
1062 }
1063 i f (mr == 3) {
1064 n . bc = tModel . noCols −1 − bC ;
1065 n . wc = tModel . noCols −1 − wC;
1066 r e t u r n ( n ) ;
1067 }
1068 i f (mr == 4) {
1069 n . bc = tModel . noCols −1 − bC ;
1070 n . wc = tModel . noCols −1 − wC;
1071 n . br = tModel . noRows−1 − bR ;
1072 n . wr = tModel . noRows−1 − wR;
1073 r e t u r n ( n ) ;
1074 }
1075 i f (mr == 5) {
1076 n . bc = bR ;
1077 n . wc = wR;
1078 n . br = bC ;
1079 n . wr = wC;
1080 r e t u r n ( n ) ;
1081 }
1082 i f (mr == 6) {
1083 n . bc = tModel . noRows−1 − bR ;
1084 n . wc = tModel . noRows−1 − wR;
1085 n . br = bC ;
1086 n . wr = wC;
1087 r e t u r n ( n ) ;
1088 }
1089 i f (mr == 7) {
1090 n . bc = bR ;
1091 n . wc = wR;
1092 n . br = tModel . noCols −1 − bC ;
1093 n . wr = tModel . noCols −1 − wC;
1094 r e t u r n ( n ) ;
1095 }
1096 i f (mr == 8) {