An Automated Multi-Phase Facilitation Agent Based on LLM

Author:

DONG Yihan1,DING Shiyao1,ITO Takayuki1

Affiliation:

1. Kyoto University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Reference23 articles.

1. [1] T. Ito, S. Suzuki, N. Yamaguchi, T. Nishida, K. Hiraishi, and K. Yoshino, “D-agree: crowd discussion support system based on automated facilitation agent,” Proceedings of the AAAI conference on artificial intelligence, vol.34, no.9, pp.13614-13615, 2020. 10.1609/aaai.v34i09.7094

2. [2] D.E. Noble and H.W.J. Rittel, “Issue-based information systems for design,” Univ. Calif. Berkeley Work. Pap, vol.492, 1989. 10.52842/conf.acadia.1988.275

3. [3] R. Hadfi and T. Ito, “Exploring Interaction Hierarchies in Collaborative Editing using Integrated Information,” Collective Intelligence Conference, ACM, 2021.

4. [4] R. Hadfi, J. Haqbeen, S. Sahab, and T. Ito, “Argumentative conversational agents for online discussions,” Journal of Systems Science and Systems Engineering, vol.30, pp.450-464, 2021. 10.1007/s11518-021-5497-1

5. [5] J. Haqbeen, T. Ito, R. Hadfi, T. Nishida, Z. Sahab, S. Sahab, S. Roghmal, and R. Amiryar, “Promoting discussion with ai-based facilitation: Urban dialogue with kabul city,” Proceedings of the 8th ACM Collective Intelligence, ACM Collective Intelligence Conference Series, Boston (Virtual Conference), South Padre Island, TX, USA, 2020.

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