Name
Abstract | ||
|---|---|---|
This paper describes an approach based on Artificial Neural Networks to estimate the trading price of bids in CDA auctions in the TAC, Classic scenario. To validate the approach. WC used some methods to validate the performances of both the ANN and an it which uses the approach. By analyzing the results of the experiments we could prove that such estimation helps improving the agent's performance. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.5220/0003725302710276 | ICAART |
Keywords | Field | DocType |
Artificial Neural Networks, Continuos Double Auction, Intelligent Agents | Computer science,Common value auction,Artificial intelligence,Artificial neural network,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robson Gonçalves Fechine Feitosa | 1 | 8 | 1.19 |
| Dalmo D. J. Andrade | 2 | 0 | 0.34 |
| Enyo Jose Tavares Goncalves | 3 | 16 | 7.14 |
| Yuri Almeida Lacerda | 4 | 30 | 3.41 |
| Gustavo A. Campos | 5 | 7 | 5.21 |
| Jerffeson Teixeira de Souza | 6 | 247 | 15.48 |