Gaussian process regression prediction-based dynamic risk negotiation strategy
Hu Jun, Zou Li
Available Online June 2014.
- 10.2991/csss-14.2014.18How to use a DOI?
- multi-issue negotiation; Gaussian process regression; dynamic risk strategy; concession strategy
In this paper, we use Gaussian process regression to predict the opponent concessions, and introduce the dynamic risk mechanism in Agent negotiation. We can change the risk factor by the utility of opponents and set a threshold in this dynamic risk mechanism. Dynamic risk strategies associated with opponent concessions prediction can not only dynamically change the risk attitude according to the utility of opponents, but also obtain a higher utility value in the negotiation. We establish this negotiation model and run it in the Generic Environment for Negotiation with Intelligent multi-purpose Usage Simulation (GENIUS), and the results prove the performance of our Agent is superior to other Agents.
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hu Jun AU - Zou Li PY - 2014/06 DA - 2014/06 TI - Gaussian process regression prediction-based dynamic risk negotiation strategy BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 80 EP - 83 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.18 DO - 10.2991/csss-14.2014.18 ID - Jun2014/06 ER -