A concurrent negotiation model with automated learning capability
一种具有自主学习能力的并发协商模型

A concurrent negotiation model with automated learning capability was developed in trading environments. By using Q-learning algorithm to propose own proposal and similarity criteria to evaluate the opposing party's proposal, agents can participate in concurrent multi-issue negotiation in semi-competitive situations in which there exists information uncertainty and deadlines. This model enables the negotiation more effective.