Agent-Based Crowd Discussion Support System and Its Societal Experiments
| Autor: | Jawad Ahmad Haqbeen, Shota Suzuki, Atsuya Sakai, Naoko Yamaguchi, Naoki Kawamura, Rafik Hadfi, Takayuki Ito |
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| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
Knowledge management Computer science business.industry media_common.quotation_subject Collective intelligence 020206 networking & telecommunications 02 engineering and technology Democracy Order (exchange) Facilitator 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Support system Social experiment business media_common |
| Zdroj: | Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection ISBN: 9783030497774 PAAMS |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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