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Table 1 Results of simulations of the untrained and trained agent in 2-player game

From: Fuzzy inference game approach to uncertainty in business decisions and market competitions

Agent moves Untrained Control expt Trained
S/N Green Yellow Winner Payoff Winner Payoff Winner Payoff
1 3, 1, 1 2, 0, 3 Yellow -289.3 Yellow -192.9 Yellow -305.0
2 0, 5, 0 1, 4, 0 Yellow -99.8 Yellow -66.6 Yellow -142.2
3 0, 5, 0 0, 1, 4 Yellow -704.8 Yellow -469.9 Yellow -747.2
4 4, 0, 1 4, 0, 1 Green 40.8 Green 61.3 Yellow -8.2
5 1, 0, 4 2, 0, 3 Green 351.6 Green 527.5 Green 302.2
6 3, 1, 1 4, 0, 1 Yellow -16.1 Yellow -10.7 Yellow -65.2
7 3, 0, 2 2, 1, 2 Green 136.8 Green 205.2 Green 94.9
8 3, 1, 1 3, 1, 1 Green 14.8 Green 22.34 Yellow -34.2
9 1, 1, 3 1, 0, 4 Yellow -22.0 Yellow -14.7 Yellow -63.9
10 2, 1, 2 1, 1, 3 Yellow -52.7 Yellow -35.2 Yellow -94.8
11 3, 0, 2 2, 0, 3 Yellow -26.7 Yellow -17.9 Yellow -68.8
12 0, 0, 5 (Geq) 0, 5, 0 (Leq) Green 1054.5 Green 1581.8 Green 1012.0
13 0, 5, 0 (Leq) 0, 0, 5 (Geq) Yellow -863.8 Yellow -575.9 Yellow -906.2
  1. From the table, the first column shows the serial numbers of the iterations, the second column contains player green’s strategies while the third column contains that of yellow. For example, in the fifth iteration, green’s strategy shows [1, 0, 4] this indicates how resources are allocated to strategy [C,W,M]: C = 1, W = 0 and M = 4. The forth column gives the winners for the untrained simulations while the fifth column gives the payoffs of those simulations. Column six and seven show the winners for the control experiment. The control experiments show the results where both players did not use fuzzy inference systems in playing the games. Column eight and nine show the winners for the trained simulations. These results show that the fuzzy player (Yellow) was able to win more than the competitor (Green) because he made use of the fuzzy inference system in making his business decisions. Also, it can be observed that the trained agent is able to perform better after training. The minus sign on yellow payoffs merely shows zero-sum. The strongest opponents (Geq) and weakest opponents (Leq) are shown in iterations 12 and 13 respectively.