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Agent-Based Crowd Discussion Support System and Its Societal Experiments

机译：基于Agent的人群讨论支持系统及其社会实验

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摘要

Crowd-scale discussion platforms are receiving great attention as potential next-generation methods for democratic citizen platforms [1,2,5,8]. One of the studies clarified the critical problem faced by human facilitators caused by the difficulty of facilitating large-scale online discussions. In order to address this issue, we implement an automated facilitation agent to manage crowd-scale online discussions. An automated facilitator agent extracts the discussion structure from the texts posted in discussions by people. We conduct large-scale social experiments with several cities including Nagoya city in Japan, and the Kabul city in Afganistan. In this demonstration, we present our current implementation of D-agree, a crowd-scale discussion support system based on an automated facilitation agent, and some results on social experiments.
机译：人群规模的讨论平台作为民主公民平台的潜在下一代方法正受到极大关注[1,2,5,8]。其中一项研究阐明了由于难以进行大规模在线讨论而导致的人类主持人面临的关键问题。为了解决此问题，我们实施了一个自动化促进代理来管理人群规模的在线讨论。自动化的主持人代理从人们在讨论中发布的文本中提取讨论结构。我们对包括日本名古屋市和阿富汗阿富汗喀布尔市在内的多个城市进行了大规模的社会实验。在此演示中，我们介绍了D-agree的当前实现，基于自动促进代理的人群规模的讨论支持系统以及社会实验的一些结果。

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