Skip to main content

How different is different?

Arguing about the significance of similarities and differences

  • Conference paper
  • First Online:
Advances in Case-Based Reasoning (EWCBR 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1168))

Included in the following conference series:

Abstract

Our instructional program, CATO, uses a model of case-based legal argument to teach law students basic skills of making arguments with cases. CATO represents abstract knowledge about the meaning of the similarities and differences between cases in a Factor Hierarchy, in which the ‘factors’ used to represent case facts are linked to higher level concerns and legal issues. The Factor Hierarchy enables CATO to identify issues in a problem and to organize multicase arguments by issues. The Factor Hierarchy also helps to assess and explain the importance of differences in terms of more abstract knowledge, yet in a manner sensitive to the context of the particular problem and case being compared and the argument for which the comparison is made.

We evaluated CATO in a controlled experiment, comparing 7.5 hours of CATO instruction to classroom instruction led by an experienced legal writing instructor. The results indicate that the CATO instruction led to significant improvement in students' basic argument skills, comparable to that achieved by the legal writing instructor. We also found that more is needed in order for CATO to prepare students for a more advanced and complex memo writing task.

We would like to thank Kevin Deasy of the University of Pittsburgh School of Law for graciously giving every possible cooperation to the evaluation study of the CATO program and Steffi Brüninghaus of the Graduate Program in Intelligent Systems for her very valuable contributions to the same experiment. The research described here has been supported by grants from the National Science Foundation, West Publishing Company, Digital Equipment Corporation, Tektronix, the National Center for Automated Information Research, and the University of Pittsburgh ECAC Advanced Instructional Technology Program. We gratefully acknowledge their contribution.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aleven, V. and Ashley, K. D. (1995) Using a Well-Structured Model to Teach in an Ill-Structured Domain. In Proc. 17th Annual Conf. Cognitive Science Society. pp. 419–424. Lawrence Erlbaum Assoc.: Mahwah, NJ.

    Google Scholar 

  • Aleven, V. and Ashley, K.D. (1994) An Instructional Environment for Practicing Argumentation Skills. In Proc.12th Nat. Conf. on Artificial Intelligence (AAAI-94). pp. 485–492. Seattle, WA. July.

    Google Scholar 

  • Ashley, K.D. (1992) Case-Based Reasoning and its Implications for Legal Expert Systems. In Artificial Intelligence and Law. Vol. 1, No. 2, pp. 113–208. Kluwer. Dordrecht, Netherlands.

    Google Scholar 

  • Ashley, K.D. (1990) Modeling Legal Argument: Reasoning with Cases and Hypotheticals. The MIT Press / Bradford Books, Cambridge, MA.

    Google Scholar 

  • Ashley, K.D. (1989) Defining Salience in Case-Based Argument. In N.S. Sridharan, editor, Proc., 11th Internal. Joint Conf. on Artificial Intelligence (IJCAI-89). pp. 537–542. Morgan Kaufmann: San Mateo, CA.

    Google Scholar 

  • Ashley, K.D. and Aleven, V. (1992) Generating Dialectical Examples Automatically. In Proc., Tenth Nat. Conf. on Artificial Intelligence (AAAI-92) pp. 654–660. AAAI Press/The MIT Press: Menlo Park, CA, Cambridge, MA.

    Google Scholar 

  • Ashley, K.D. and McLaren, B. M. (1995) Reasoning with Reasons in Case-Based Comparisons. In Proc. First Internat. Conf. on Case-Based Reasoning (ICCBR-95) Lecture Notes in Artificial Intelligence 1010 Veloso, M. and Aamodt, A. (ed.) pp. 133–144. Springer: Berlin. Sesimbra, Portugal. October.

    Google Scholar 

  • Ashley, K.D. and Rissland, E.L. (1988) Waiting on Weighting: A Symbolic Least Commitment Approach. In Proc., American Association for Artificial Intelligence, 7th Nat. Conf. on Artificial Intelligence (AAAI-88). pp. 234–239. Morgan Kaufmann: San Mateo, CA.

    Google Scholar 

  • Bareiss, E. R. (1989) Exemplar-Based Knowledge Acquisition A Unified Approach to Concept Representation, Classification, and Learning. Academic Press, San Diego, CA, 1989. Based on PhD dissertation, 1988.

    Google Scholar 

  • Branting, K. L. (1991) Building Explanations From Rules and Structured Cases. In The Journal of Man-Machine Studies. 34, 797–837.

    Google Scholar 

  • Burke, R. and Kass, A. (1994) Tailoring Retrieval to Support Case-Based Teaching. In Proc. Twelfth Nat. Conf. on Artificial Intelligence (AAAI-94). pp. 493–498. Seattle, WA. July.

    Google Scholar 

  • Edelson, D.C. (1992) When Should A Cheetah Remind You of a Bat? Reminding in Case-Based Teaching. In Proc., Tenth Nat. Conf. on Artificial Intelligence (AAAI-92) pp. 667–672. AAAI Press/The MIT Press: Menlo Park, CA, Cambridge, MA.

    Google Scholar 

  • Kolodner, J. (1993) Case-Based Reasoning. Morgan Kaufmann Publishers, Inc., San Mateo, CA.

    Google Scholar 

  • Koton, P. (1988) Using Experience in Learning and Problem Solving. PhD thesis, MIT.

    Google Scholar 

  • Leake, D. (1991) An Indexing Vocabulary for Case-Based Explanation. In Proc., Ninth Conference on Artificial Intelligence (AAAI-91) pp. 10–15. AAAI Press/The MIT Press: Menlo Park, CA, Cambridge, MA.

    Google Scholar 

  • Rissland, E. L. and Skalak, D. B. (1991). CABARET: Rule Interpretation in a Hybrid Architecture. In The Journal of Man-Machine Studies. 34, pp. 839–887.

    Google Scholar 

  • Rissland, E. L., Skalak, D. B., and Friedman, M.T. (1996) Evaluating a Legal Argument Program: The BankXX Experiments. Artificial Intelligence and Law. To appear. Kluwer: Dordrecht, Netherlands.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ian Smith Boi Faltings

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Aleven, V., Ashley, K.D. (1996). How different is different?. In: Smith, I., Faltings, B. (eds) Advances in Case-Based Reasoning. EWCBR 1996. Lecture Notes in Computer Science, vol 1168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020598

Download citation

  • DOI: https://doi.org/10.1007/BFb0020598

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61955-0

  • Online ISBN: 978-3-540-49568-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics