Skip to main content

Characterized Argument Agent for Training Partner

  • Conference paper
  • First Online:
Book cover New Frontiers in Artificial Intelligence (JSAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4914))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barkai, J.: Teaching Negotiation and ADR: The Savvy Samurai Meets the Devil. 75 Nebraska Law Review 704 (1996)

    Google Scholar 

  2. Tanaka, T., et al.: Online Support System for Mediator Education. In: Proceedings of IJCAI 2005, Poster Session, pp. 1702–1703 (2005)

    Google Scholar 

  3. Tanaka, T., Katagami, D., Nitta, K.: Advice Agent for Online Mediator Education. In: International Workshop of Agent-Based Systems for Human Learning, AAMAS 2006, pp. 43–48 (2006)

    Google Scholar 

  4. Aleven, V.: Teaching Case-Based Argumentation through a Model and Examples, ph D. Thesis, University of Pittsburgh (1997)

    Google Scholar 

  5. Yuasa, M., Yasumura, Y., Nitta, K.: Negotiation Support Tool Using Emotional Factors. In: Proceeding of IFSA-NAFIP 2001, pp. 2906–2911 (2001)

    Google Scholar 

  6. Gordon, T.: The Pleadings Game. Kluwer Academic Publishers, Dordrecht (1995)

    Book  Google Scholar 

  7. Tanaka, T., et al.: Case Based Online Training Support System for ADR Mediator. In: International Workshop on Artificial Intelligence and Legal Education, ICAIL 2005, pp. 22–27 (2005)

    Google Scholar 

  8. Tanaka, T., et al.: Case Based Utterance Generating for An Argument Agent. In: 5th Workshop of Knowledge and Reasoning in Practical Dialogue Systems, IJCAI 2007, pp. 10–14 (2007)

    Google Scholar 

  9. Goldberg, L.R.: The structure of phenotypic personality traits. American Psychologist 48, 26–34 (1993)

    Article  Google Scholar 

  10. Prakken, H.: Modeling Reasoning about Evidence in Legal Procedure. In: Proc. ICAIL 2001, pp. 119–128 (2001)

    Google Scholar 

  11. Tanaka, T.: Case Based Online Mediation Support System (in Japanese), ph D. thesis, Tokyo Institute of Technology (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ken Satoh Akihiro Inokuchi Katashi Nagao Takahiro Kawamura

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tanaka, T., Maeda, N., Katagami, D., Nitta, K. (2008). Characterized Argument Agent for Training Partner. In: Satoh, K., Inokuchi, A., Nagao, K., Kawamura, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2007. Lecture Notes in Computer Science(), vol 4914. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78197-4_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78197-4_35

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78196-7

  • Online ISBN: 978-3-540-78197-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics