Bilateral Multi-Issue Negotiation Model for
a Kind of Complex Environment
Jun Hu1, Li Zou1,2, and Ru Xu1,3
1College of Computer Science and Electronic Engineering, Hunan University, China
2The Second
Hospital, University of South China, China
3Guangxi
Key Laboratory of Trusted Software, Guilin University of Electronic Technology,
China
Abstract: There are many uncertain factors in bilateral
multi-issue negotiation in complex environments, such as unknown opponents and
time constraints. The key of negotiation in complex environment is the
negotiation strategy of Agent. We use Gaussian process regression and dynamic
risk strategies to predict the opponent concessions, and according to the
utility of the opponent’s offer and the risk function, predict the concessions
of opponent, then set the concessions rate of our Agent upon the opponent's
concession strategy. We run the Agent in Generic Environment for Negotiation with
Intelligent multi-purpose Usage Simulation (GENIUS) platform and analyze the
results of experiments. Experimental results show that the application of
dynamic risk strategy in negotiation model is superior to other risk
strategies.
Keywords: Multi-issue negotiation; jaussian
process regression; dynamic risk strategy; concession strategy.