Opponent Modeling for Virtual Human Negotiators
Opponent Modeling for Virtual Human Negotiators
复制标题
虚拟人类谈判者的对手建模
DOI：
10.1007/978-3-319-21996-7_4
复制
发表时间：
2015
影响因子：
3
通讯作者：
J. Gratch
中科院分区：
文献类型：
--
作者：
Zahra Nazari;Gale M. Lucas;J. Gratch
谈判是虚拟人研究的一个具有挑战性的领域。这个问题的一个方面，被称为对手建模，是发现对方想从谈判中得到什么。对自动协商的研究已经产生了许多对手建模技术，但我们表明这些方法不容易转移到人类代理设置。我们提出了一种更有效的启发式方法，可以从谈判者的报价模式和关于他们偏好的口头陈述中推断出偏好。这种方法还有一个额外的好处，那就是它可以检测出谈判者在他们的偏好上撒谎。我们讨论了几种方法可以提高虚拟人类谈判者的能力。
Negotiation is a challenging domain for virtual human research. One aspect of this problem, known as opponent modeling, is discovering what the other party wants from the negotiation. Research in automated negotiation has yielded a number opponent modeling techniques but we show that these methods do not easily transfer to human-agent settings. We propose a more effective heuristic for inferring preferences both from a negotiator’s pattern of offers and verbal statements about their preferences. This method has the added advantage that it can detect negotiators that lie about their preferences. We discuss several ways the method can enhance the capabilities of a virtual human negotiator.