Kunstig Intelligens til Brætspillet Taiji - Danmarks Tekniske Universitet

A.2 AITaijiGrowth.java 115
394 b [ c −1][ r −1] = 2 ;
395 r e t u r n ( r e [ 3 ] ) ;
396 }
397 b [ c ] [ r −1] = 2 ;
398 b [ c −1][ r −1] = 2 ;
399 }
400 }
401 i f ( c < tModel . noCols −1){
402 i f ( fb [ c +1][ r −1] == 0) {
403 i n t [ ] r e ;
404 b [ c ] [ r −1] = 1 ;
405 b [ c +1][ r −1] = 0 ;
406 r e = placePieceMax ( b , d , n ,
c , r −1, c +1, r −1,
alpha , beta ) ;
407 alpha = r e [ 1 ] ;
408 beta = r e [ 2 ] ;
409 i f ( r e [ 0 ] == 1) {
410 b [ c ] [ r −1] = 2 ;
411 b [ c +1][ r −1] = 2 ;
412 r e t u r n ( r e [ 3 ] ) ;
413 }
414 b [ c ] [ r −1] = 0 ;
415 b [ c +1][ r −1] = 1 ;
416 r e = placePieceMax ( b , d , n ,
c +1, r −1, c , r −1,
alpha , beta ) ;
417 alpha = r e [ 1 ] ;
418 beta = r e [ 2 ] ;
419 i f ( r e [ 0 ] == 1) {
420 b [ c ] [ r −1] = 2 ;
421 b [ c +1][ r −1] = 2 ;
422 r e t u r n ( r e [ 3 ] ) ;
423 }
424 b [ c ] [ r −1] = 2 ;
425 b [ c +1][ r −1] = 2 ;
426 }
427 }
428 i f ( r > 1) {
429 i f ( fb [ c ] [ r −2] == 0) {
430 i n t [ ] r e ;
431 b [ c ] [ r −1] = 1 ;
432 b [ c ] [ r −2] = 0 ;
433 r e = placePieceMax ( b , d , n ,
c , r −1, c , r −2, alpha ,
beta ) ;
434 alpha = r e [ 1 ] ;
435 beta = r e [ 2 ] ;
436 i f ( r e [ 0 ] == 1) {
437 b [ c ] [ r −1] = 2 ;
438 b [ c ] [ r −2] = 2 ;
439 r e t u r n ( r e [ 3 ] ) ;
440 }
441 b [ c ] [ r −1] = 0 ;
442 b [ c ] [ r −2] = 1 ;