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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.