Minimax
Minimax (kadhang kala MinMax, MM[1] utawa saddle point[2]) minangka aturan keputusan sing digunakake ing intelijen buatan, teori keputusan, teori game, statistik, lan filsafat kanggo minimalake kemungkinan kerugian kanggo skenario kasus paling ala (kerugian maksimal). Nalika ngatasi keuntungan, diarani "maksimal" - kanggo nggedhekake bathi minimal. Originally diformulasikaken kanggo teori game nol-jumlah n-player, kalebu loro kasus nalika pemain njupuk gerakan alternatif lan gerakane bebarengan, uga ditambahake menyang game sing luwih rumit lan nggawe keputusan umum yen durung mesthi.
Pseudocode
besutPseudocode kanggo algoritma minimax winates jerone iku kaya ing ngisor iki:
function minimax(node, depth, maximizingPlayer) is if depth = 0 or node is a terminal node then return the heuristic value of node if maximizingPlayer then value := −∞ for each child of node do value := max(value, minimax(child, depth − 1, FALSE)) return value else (* minimizing player *) value := +∞ for each child of node do value := min(value, minimax(child, depth − 1, TRUE)) return value
(* Initial call *) minimax(origin, depth, TRUE)
Rujukan
besut- ↑ Provincial Healthcare Index 2013 (Bacchus Barua, Fraser Institute, January 2013 -see page 25-)
- ↑ Turing and von Neumann - Professor Raymond Flood - Gresham College at 12:00
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