Kunstig Intelligens til Brætspillet Taiji - Danmarks Tekniske Universitet

A.2 AITaijiGrowth.java 123
778 b [ c −1][ r −1] = 2 ;
779 }
780 }
781 i f ( c < tModel . noCols −1){
782 i f ( fb [ c +1][ r −1] == 0) {
783 i n t [ ] r e ;
784 b [ c ] [ r −1] = 1 ;
785 b [ c +1][ r −1] = 0 ;
786 r e = placePieceMin ( b , d , n ,
c , r −1, c +1, r −1,
alpha , beta ) ;
787 alpha = r e [ 1 ] ;
788 beta = r e [ 2 ] ;
789 i f ( r e [ 0 ] == 1) {
790 b [ c ] [ r −1] = 2 ;
791 b [ c +1][ r −1] = 2 ;
792 r e t u r n ( r e [ 3 ] ) ;
793 }
794 b [ c ] [ r −1] = 0 ;
795 b [ c +1][ r −1] = 1 ;
796 r e = placePieceMin ( b , d , n ,
c +1, r −1, c , r −1,
alpha , beta ) ;
797 alpha = r e [ 1 ] ;
798 beta = r e [ 2 ] ;
799 i f ( r e [ 0 ] == 1) {
800 b [ c ] [ r −1] = 2 ;
801 b [ c +1][ r −1] = 2 ;
802 r e t u r n ( r e [ 3 ] ) ;
803 }
804 b [ c ] [ r −1] = 2 ;
805 b [ c +1][ r −1] = 2 ;
806 }
807 }
808 i f ( r > 1) {
809 i f ( fb [ c ] [ r −2] == 0) {
810 i n t [ ] r e ;
811 b [ c ] [ r −1] = 1 ;
812 b [ c ] [ r −2] = 0 ;
813 r e = placePieceMin ( b , d , n ,
c , r −1, c , r −2, alpha ,
beta ) ;
814 alpha = r e [ 1 ] ;
815 beta = r e [ 2 ] ;
816 i f ( r e [ 0 ] == 1) {
817 b [ c ] [ r −1] = 2 ;
818 b [ c ] [ r −2] = 2 ;
819 r e t u r n ( r e [ 3 ] ) ;
820 }
821 b [ c ] [ r −1] = 0 ;
822 b [ c ] [ r −2] = 1 ;
823 r e = placePieceMin ( b , d , n ,
c , r −2, c , r −1, alpha ,
beta ) ;
824 alpha = r e [ 1 ] ;