A Framework for Online Reverse Auction Based on Market Maker Learning with a Risk-Averse Buyer

Table 11

Results of the first iteration of simulation for semisealed auction and multiplicative scoring function.

First round					Seller’s score	Seller’s profit	Second round				Seller’s score	Seller’s profit	Third round				Seller’s score	Seller’s profit	Fourth round				Seller’s score	Seller’s profit
Seller	Attributes						Attributes						Attributes						Attributes
	1	2	3	4			1	2	3	4			1	2	3	4			1	2	3	4
1	6	5	1	2	7.000	2.449	9.870	4.822	1.524	6.222	25.965	4.744	9.870	4.822	1.524	6.222	25.965	4.744	9.870	4.822	1.524	6.222	25.965	4.744
2	8	2	1	6	6.350	5.117	9.999	1.492	4.544	5.590	24.981	6.149	9.998	5.827	8.222	9.017	84.784	2.019	9.998	5.827	8.222	9.017	84.784	2.019
3	8	2	6	3	8.975	2.614	9.977	6.310	0.893	8.825	34.267	5.555	9.977	6.310	0.893	8.825	34.267	5.555	9.977	6.310	0.893	8.825	34.267	5.555
4	5	2	2	2	6.560	2.829	9.989	5.113	2.616	4.208	25.468	5.969	9.988	9.245	5.749	8.506	85.249	1.913	9.988	9.245	5.749	8.506	85.249	1.913
5	8	5	2	5	10.250	5.067	9.999	7.579	2.322	6.120	38.462	6.279	9.242	9.999	6.893	9.996	107.144	1.668	9.242	9.999	6.893	9.996	107.144	1.668
6	7	2	6	3	10.638	3.708	9.947	5.683	7.756	2.726	38.799	5.405	9.932	9.980	9.913	8.254	125.168	0.777	9.932	9.980	9.913	8.254	125.168	0.777
	—		2.647		2.226		0