I'm looking for learning methods aplied to card trick-taking team games (bridge-like). As so, it's: a) NOT a two-player game b) NOT a complete information games -> minimax, alpha/beta prunning does not fit well. Adding Montecarlo would help a little, but that's not my problem just now. c) NOT a war-like, strategic-like game and most links don't apply. I cannot see how Genetic/neural theory apllies in such kind of games because I'm stopped on how to evaluate "moves", strategy, ... Actually my program (for a local card game) wins 46% games against humans (well, one human as ally and two human opponents), it plays ... mmm ... moderate, and I would like it to learn from history. Any suggestions? Thanks a lot

Thanks, I will check both