Characterized Argument Agent for Training Partner

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.

[1]  Vincent A. W. M. M. Aleven,et al.  Teaching case-based argumentation through a model and examples , 1997 .

[2]  L. R. Goldberg.  The structure of phenotypic personality traits. , 1993, The American psychologist.

[3]  Henry Prakken,et al.  Modelling reasoning about evidence in legal procedure , 2001, ICAIL '01.

[4]  Katsumi Nitta,et al.  Online Support System for Mediator Education , 2005, IJCAI.

[5]  Teaching Negotiation and ADR: The Savvy Samurai Meets the Devil , 1996 .

[6]  Thomas F. Gordon,et al.  The Pleadings Game , 1994, Artificial Intelligence and Law.

[7]  Katsumi Nitta,et al.  Case based online training support system for ADR mediator , 2005, ICAIL '05.

[8]  Katsumi Nitta,et al.  A negotiation support tool using emotional factors , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).