基于代理人的说服模式,让步取决于情感和时间信念
Jinghua Wu1, Ruiyang Cao1, Ya Zhang1
1School of management, China University of Mining and Technology - Beijing, Beijing, China.
PloS one
|September 25, 2025
概括
本研究介绍了适应性谈判代理的情感时间双过程框架. 它通过模拟情绪和时间压力来增强谈判的成功和公平性,从而导致更类似人类的人工智能系统.
科学领域:
- 人工智能的人工智能
- 计算社会科学 计算社会科学
- 行为经济学是一种行为经济学.
背景情况:
- 自动化谈判代理商在情感充满,时间有限的场景中缺乏人类的适应能力.
- 现有的模型往往无法充分捕捉谈判期间情绪和时间压力之间的相互作用.
研究的目的:
- 为智能谈判系统引入情感时间双流程框架.
- 提高自动化谈判代理人的适应能力和人性质.
- 改善谈判结果,包括成功率,共同效用和公平性.
主要方法:
- 整合了评估趋势框架与动态时间建模.
- 将情绪分解为愉快和确定性的维度,将它们映射到六种说服策略中.
- 开发了可变率时间函数来建模动态时间压力和依赖国家特许权更新模型.
主要成果:
- 与基准模型相比,拟议的框架显著提高了谈判成功率,共同效用和结果公平性.
- 纳入情绪因素,使双方之间的效用差异减少了28.55%.
- 动态时间功能提高了12.99%的谈判效率,而不影响公平或成功率.
结论:
- 情绪-时间双流程框架为开发更类似人类和适应性的智能谈判系统提供了理论基础.
- 情绪和时间动态的整合对于先进的自动化谈判至关重要.
- 该框架在优化谈判结果方面展示了实际的好处.
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