Kunstig Intelligens til Brætspillet Taiji - Danmarks Tekniske Universitet

A.2 AITaijiGrowth.java 113
299 r e t u r n ( r e [ 3 ] ) ;
300 }
301 b [ c ] [ r +1] = 0 ;
302 b [ c +1][ r +1] = 1 ;
303 r e = placePieceMax ( b , d , n ,
c +1, r +1, c , r +1,
alpha , beta ) ;
304 alpha = r e [ 1 ] ;
305 beta = r e [ 2 ] ;
306 i f ( r e [ 0 ] == 1) {
307 b [ c ] [ r +1] = 2 ;
308 b [ c +1][ r +1] = 2 ;
309 r e t u r n ( r e [ 3 ] ) ;
310 }
311 b [ c ] [ r +1] = 2 ;
312 b [ c +1][ r +1] = 2 ;
313 }
314 }
315 i f ( c > 0) {
316 i f ( fb [ c −1][ r +1] == 0) {
317 i n t [ ] r e ;
318 b [ c ] [ r +1] = 1 ;
319 b [ c −1][ r +1] = 0 ;
320 r e = placePieceMax ( b , d , n ,
c , r +1, c −1, r +1,
alpha , beta ) ;
321 alpha = r e [ 1 ] ;
322 beta = r e [ 2 ] ;
323 i f ( r e [ 0 ] == 1) {
324 b [ c ] [ r +1] = 2 ;
325 b [ c −1][ r +1] = 2 ;
326 r e t u r n ( r e [ 3 ] ) ;
327 }
328 b [ c ] [ r +1] = 0 ;
329 b [ c −1][ r +1] = 1 ;
330 r e = placePieceMax ( b , d , n ,
c −1, r +1, c , r +1,
alpha , beta ) ;
331 alpha = r e [ 1 ] ;
332 beta = r e [ 2 ] ;
333 i f ( r e [ 0 ] == 1) {
334 b [ c ] [ r +1] = 2 ;
335 b [ c −1][ r +1] = 2 ;
336 r e t u r n ( r e [ 3 ] ) ;
337 }
338 b [ c ] [ r +1] = 2 ;
339 b [ c −1][ r +1] = 2 ;
340 }
341 }
342 i f ( r < tModel . noRows−2){
343 i f ( fb [ c ] [ r +2] == 0) {
344 i n t [ ] r e ;
345 b [ c ] [ r +1] = 1 ;
346 b [ c ] [ r +2] = 0 ;