Using Automated Agents to Teach Negotiation

Using Automated Agents to Teach Negotiation
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使用自动化代理教授谈判

DOI:
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发表时间:
2019
期刊:
AAAI Conference on Artificial Intelligence
影响因子:
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通讯作者:
Emmanuel Johnson
Emmanuel Johnson
中科院分区:
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文献类型:
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作者:
Emmanuel Johnson

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谈判是我们日常生活中不可或缺的一部分,无论职业如何。虽然我们的经验无处不在,但我们从未被教导过谈判。这种缺乏培训的情况带来了许多后果,从不公平的工资谈判到地缘政治的影响。由于自动化系统的兴起,解决冲突和谈判的能力变得越来越重要,这些系统希望取代各种重复性的任务。为了提高人类的谈判技巧,我的工作旨在开发能够提供个性化反馈的自动谈判代理。在本文中,我提供了一个概述我过去,现在和未来的工作。
Negotiation is an integral part of our daily lives regardless of occupation. Although ubiquitous to our experience, we are never taught to negotiate. This lack of training presents many consequences from unfair salary negotiation to geopolitical ramification. The ability to resolve conflicts and negotiate is becoming more critical due to the rise of automated systems which look to replace various repetitive task jobs. In hopes of improving human negotiation skills, my work seeks to develop automated negotiation agents capable of providing personalized feedback. In this paper, I provide an overview of my past , current, and future work.