Abstract
Negotiation convergence is a crucial part of the automated multi-issue negotiation process. To improve the negotiation convergence process and to minimize complexity an agenda based approach can be used to build a new negotiation model. The agenda based model investigates the significance of the choice of the sequence in issue-by-issue negotiation. This model can improve an agent's utility by providing efficient convergence and an effective equilibrium outcome. The main motivation is to construct a new model which is symmetric and Pareto-optimal. The proposed automated negotiation approach deals with the multiple issues in such a way that it helps to balance the efficiency and effectiveness of the outcome. The model is analysed in an ambient intelligence domain in order to prove its effectiveness.
| Original language | English |
|---|---|
| Pages (from-to) | 455-473 |
| Journal | Journal of Ambient Intelligence and Humanized Computing |
| Volume | 5 |
| Issue number | 4 |
| Early online date | 22 Apr 2012 |
| DOIs | |
| Publication status | Published - 2014 |
Bibliographical note
The full text of this item is not available from the repository.The final publication is available at Springer via http://dx.doi.org/10.1007/s12652-012-0123-1.
Keywords
- agenda
- ambient intelligence
- issue-by-issue
- multi issue
- negotiation