与机器人进行情感聊天的动力学：实验和基于Agent的模拟
The Dynamics of Emotional Chats with Bots: Experiment and Agent-Based Simulations
摘要：
心理学中情绪的定量研究和从短信中提取情绪成分的机器学习方法为物理科学探索情绪发挥作用的随机过程的性质开辟了一条途径，例如，人体动力学在线在这里，我们调查的集体行为的发生，是由情感机器人聊天引起的用户。被认为是在实验环境中设计的机器人。此外，使用基于代理的建模方法，这些实验机器人的活动是在一个互动的情感代理的社会网络中模拟的。定量分析的时间序列携带的情绪信息的代理人提出的时间相关性和持续的波动与聚类根据情绪相似性。{All本研究中使用的数据完全匿名。
英文摘要：
Quantitative research of emotions in psychology and machine-learning methods for extracting emotion components from text messages open an avenue for physical science to explore the nature of stochastic processes in which emotions play a role, e.g., in human dynamics online. Here, we investigate the occurrence of collective behavior of users that is induced by chats with emotional Bots. The Bots, designed in an experimental environment, are considered. Furthermore, using the agent-based modeling approach, the activity of these experimental Bots is simulated within a social network of interacting emotional agents. Quantitative analysis of time series carrying emotional messages by agents suggests temporal correlations and persistent fluctuations with clustering according to emotion similarity. {All data used in this study are fully anonymized.}
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
