Characterized argument agent for training partner

Authors:
Takahiro Tanaka;Norio Maeda;Daisuke Katagami;Katsumi Nitta
Affiliations:
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan;Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan;Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan;Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan
Venue:
JSAI'07 Proceedings of the 2007 conference on New frontiers in artificial intelligence
Year:
2007

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Abstract

For the resolution of disputes, Alternative Dispute Resolution (ADR) has become a popular replacement for trials. However, for mediation to work, the mediator must undergo extensive training. To help with mediator training, we have developed an online mediation support system. In this paper, we present an overview of the system and an argument agent. The argument agent participates in moot mediation as a disputant for self-training purposes. We also explain how an agent's text response can be generated by retrieving from a case base situations which are likely to be met with in dispute resolution.