scholarly journals Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone

2018 ◽  
Vol 10 (3) ◽  
pp. 317-332 ◽  
Author(s):  
Stefano Di Palma ◽  
Pier Luca Lanzi
2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Eunike Thirza Hanitya Christian ◽  
R. Gunawan Santoso ◽  
Erick Purwanto

Daifugo is climbing card game that is originated from Japan. AI player of Daifugo card game can be implemented using Monte Carlo Tree Search to get optimal result from random simulation. Monte Carlo Tree Search has 4 step, selection, expansion, simulation and backpropagation that is executed until maximal loop is reached. Objective of using Monte Carlo Tree Search on AI player in Daifugo card game is to get move with high winning rate and to observe the effect of number of loop on the method to winning rate


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