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

Table 10

Results of the first iteration of simulation for semisealed auction and additive 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	2.852	2.449	10.000	0.327	0.846	8.604	5.358	6.584	9.980	1.493	8.245	9.989	7.851	1.546	9.980	1.493	8.245	9.989	7.851	1.546
2	8	2	1	6	2.953	5.117	9.815	2.533	3.051	5.445	5.356	6.112	10.000	0.698	9.475	9.514	7.863	3.588	10.000	0.698	9.475	9.514	7.863	3.588
3	8	2	6	3	3.301	2.614	9.968	4.652	0.399	7.544	5.785	6.642	9.968	4.652	0.399	7.544	5.785	6.642	9.968	4.652	0.399	7.544	5.785	6.642
4	5	2	2	2	2.754	2.829	9.993	0.592	0.012	8.755	5.246	6.816	10.000	9.530	1.889	9.556	7.745	3.372	10.000	9.530	1.889	9.556	7.745	3.372
5	8	5	2	5	3.502	5.067	9.991	7.370	0.078	6.731	6.010	7.498	9.995	8.760	5.307	9.769	8.508	3.581	9.995	8.760	5.307	9.769	8.508	3.581
6	7	2	6	3	3.551	2.449	9.996	0.684	9.191	3.713	6.048	6.584	9.996	0.684	9.191	3.713	6.048	6.584	9.966	0.041	0.028	0.026	2.515	1.546
					–						0.703						0.406						0