Name
Abstract | ||
|---|---|---|
The Internet is quickly changing the way business-to-consumer and business-to-business commerce is conducted. The technology has created an opportunity to get beyond single-issue negotiation by determining sellers' and buyers' preferences across multiple issues, thereby creating possible joint gains for all parties. We develop simple multiple issue algorithms and heuristics that could be used in electronic auctions and electronic markets. In this study, we show how a genetic algorithm based technique, coupled with a simple heuristic can achieve good results in business negotiations. Outcome of the negotiations are evaluated on two dimensions: joint utility and number of exchanges of offers to reach a deal. The results are promising and indicate possible use of such approaches in actual electronic commerce systems. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45984-7_20 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
bilateral negotiations,business-to-business commerce,possible use,possible joint gain,evolutionary algorithm approach,multiple issue,electronic market,actual electronic commerce system,joint utility,simple multiple issue algorithm,simple heuristic,electronic auction,internet,electronic commerce,evolutionary algorithm,genetic algorithm,two dimensions | Heuristic,Evolutionary algorithm,Computer science,Operations research,Electronic markets,Common value auction,Heuristics,Artificial intelligence,Machine learning,Genetic algorithm,Negotiation,The Internet | Conference |
ISBN | Citations | PageRank |
3-540-43378-3 | 4 | 0.47 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vinaysheel Baber | 1 | 4 | 0.47 |
| Rema Ananthanarayanan | 2 | 24 | 4.32 |
| Krishna Kummamuru | 3 | 353 | 20.78 |