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Case based online training support system for ADR mediator

Published: 06 June 2005 Publication History

Abstract

This paper describes an overview of an online training support system for ADR mediators. To educate good mediators, much training is necessary, which is not easy for supervisors. As supervisors have to take care of many students, they cannot spare much time for a specific student. To train students effectively, some support system is needed.This system provides an environment for online disputation. Using this system, the supervisor and students can participate in the mediation process even if they are outside of the University. Furthermore, this system stores many disputation records in the form of XML documents as a case base, and this case base is used to navigate the mediation process. During the disputation, users can retrieve old similar scenes of disputation, and they can construct proper arguments by referring to similar scenes. Furthermore, by comparing records of disputation or by analyzing them statistically, we can get the information that help to evaluate the mediation skill.

References

[1]
American Arbitration Association, Mediation - 40-Hour Mediator Skills Training for Court-Based Settlement Programs, 2001.
[2]
Masahide Yuasa, Yoshiaki Yasumura and Katsumi Nitta, Negotiation Support Tool Using Emotinal Factors, In Proceeding of IFSA-NAFIP2001, pp2096--2911, 2001.
[3]
Ashley, K. D, Reasoning with cases and hypotheticals in HYPO, Int. J. ManMachine Studies 34, pp.753--796, 1991.
[4]
Henry Prakken, Modeling Reasoning about Evidence in Legal Procedure, Proc. ICAIL2001, pp.119--128, 2001.

Cited By

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  • (2022)Case Analysis Using Factors and Legal Topoi to Case Law EducationAnalysis of Legal Argumentation Documents10.1007/978-981-19-2928-1_4(103-123)Online publication date: 13-Aug-2022
  • (2010)Behavior Generation and Evaluation of Negotiation Agent Based on Negotiation Dialogue InstancesJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2010.p084014:7(840-851)Online publication date: 20-Nov-2010
  • (2008)Characterized Argument Agent for Training PartnerNew Frontiers in Artificial Intelligence10.1007/978-3-540-78197-4_35(377-389)Online publication date: 2008
  • Show More Cited By

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Published In

cover image ACM Other conferences
ICAIL '05: Proceedings of the 10th international conference on Artificial intelligence and law
June 2005
270 pages
ISBN:1595930817
DOI:10.1145/1165485
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • The International Association for Artificial Intelligence and Law
  • CIRSFID

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2005

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Author Tags

  1. ADR
  2. case base
  3. e-learning
  4. online disputation

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ICAIL05
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Overall Acceptance Rate 69 of 169 submissions, 41%

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Cited By

View all
  • (2022)Case Analysis Using Factors and Legal Topoi to Case Law EducationAnalysis of Legal Argumentation Documents10.1007/978-981-19-2928-1_4(103-123)Online publication date: 13-Aug-2022
  • (2010)Behavior Generation and Evaluation of Negotiation Agent Based on Negotiation Dialogue InstancesJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2010.p084014:7(840-851)Online publication date: 20-Nov-2010
  • (2008)Characterized Argument Agent for Training PartnerNew Frontiers in Artificial Intelligence10.1007/978-3-540-78197-4_35(377-389)Online publication date: 2008
  • (2007)Characterized argument agent for training partnerProceedings of the 2007 conference on New frontiers in artificial intelligence10.5555/1788314.1788354(377-389)Online publication date: 18-Jun-2007

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