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Rational and affective linking across conceptual cases — without rules

  • Formal Reasoning
  • Conference paper
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Conceptual Structures: Fulfilling Peirce's Dream (ICCS 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1257))

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Abstract

Human reasoning across experiential cases in episodic memory seems quite different from conventional artificial reasoning with conceptual representations by systematically manipulating them according to logical rules. One difference is that in humans linkages between particular experiences can apparently be made in a number of qualitatively different ways, forming recollective chains along different dimensions. For example, watching one movie may recall another which had a similar ending, cinematography, or common actors. It may also recall an otherwise unrelated movie which produced the same emotional impact. These linkages do not appear to be economically or simply described by rules. Yet case-based reasoning systems could benefit from sequential indexing of this kind. A conceptual-graph-based FGP (Fetch, Generalise, Project) machine using a small database of intellectual property law cases could enable such “memory-walks” to be computed without rules.

This research was supported by Australian Research Council grant A49600961 “Providing Sophisticated Access to Legal Information” (Gedeon, Greenleaf & Mowbray, 1996–1998).

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References

  1. D.R. Corkery: Hallsbury's Laws of Australia. Vol. 29, Index. Canberra: Butterworth, 1993.

    Google Scholar 

  2. S. Dogru & J.R. Slagle. A System that Translates Conceptual Structures into English. In H.D. Pfeiffer & T.E. Nagle (Eds.), Conceptual Structures: Theory and Implementation, Lecture Notes in AI 754, Springer-Verlag, Berlin, 1992, 283–292.

    Google Scholar 

  3. H.S. Delugach: An Exploration into Semantic Distance. In H.D. Pfeiffer & T.E. Nagle (Eds.), Conceptual Structures: Conceptual Structures: Theory and Implementation, Lecture Notes in AI 754, Springer-Verlag, Berlin, 1992, 119–124.

    Google Scholar 

  4. J. Dick: A Conceptual, Case-Relation Representation of Text for Intelligent Retrieval. Technical Report CSRI-265, Computer Systems Research Institute, University of Toronto, 1992.

    Google Scholar 

  5. J. Dick: Using Contexts to Represent Text. In W. M. Tepfenhart, J. P. Dick & J. F. Sovva, (Eds.), Conceptual Structures: Current Practices, Lecture Notes in AI 835, Springer-Verlag, Berlin, 1994, 196–213.

    Google Scholar 

  6. M.G. Dyer: Emotions and Their Computations: Three Computer Models. Cognition and Emotion, 1978, 1, 1, 223–234.

    Google Scholar 

  7. S. Fertig & D.H. Gelernter: The Design, Implementation and Performance of a Database-driven Expert System. Technical Report #851, Department of Computer Science, Yale University, 1991.

    Google Scholar 

  8. N. Foo, B.J. Garner, A. Rao, & E. Tsui: Semantic Distance in Conceptual Graphs. In T.E. Nagle et. al. (Eds.), Conceptual Structures: Current Research and Practice. Chichester: Ellis Horwood, 1992, 150–154.

    Google Scholar 

  9. D. Gelernter: The Muse in the Machine. London: Fourth Estate, 1994.

    Google Scholar 

  10. J. Kolodner: Case-Based Reasoning. San Mateo, CA: Morgan Kaufmann Publishers, 1993. Chapter 4.

    Google Scholar 

  11. J.P. McKeough: Intellectual Property. Canberra: Butterworth's Student Companions, 2nd Edition, 1994.

    Google Scholar 

  12. G.A. Mann: Beeline — A Situated, Bounded Conceptual Knowledge System. International Journal of Systems Research & Information Science, 1995, 7, 37–53.

    Google Scholar 

  13. G.W. Mineau: Normalizing Conceptual Graphs. In T.E. Nagle et. al. (Eds.), Conceptual Structures: Current Research and Practice. Chichester: Ellis Horwood, 1992, 339–348.

    Google Scholar 

  14. J.F. Sowa: Conceptual structures. Menlo Park, California: Addison-Wesley Publishing Company, 1984.

    Google Scholar 

  15. Tepfenhart, W.M. Attitudes: Keys to Problem Identification. In W. M. Tepfenhart, J. P. Dick & J. F. Sowa, (Eds.), Conceptual Structures: Current Practices, Lecture Notes in AI 835, Springer-Verlag, Berlin, 1994, 127–143.

    Google Scholar 

  16. Toulmin, S.E. The Uses of Argument, Cambridge: Cambridge University Press, 1958.

    Google Scholar 

  17. V. Wuwongse, S. Niyomthai: Conceptual Graphs as a Framework for Case-based Reasoning. Proceedings of the 6th Annual Workshop on Conceptual Graphs, 1990, 119–133.

    Google Scholar 

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Authors and Affiliations

  1. Artificial Intelligence Laboratory School of Computer Science & Engineering, University of New South Wales, 2052, Sydney, NSW, Australia

    Graham A. Mann

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  1. Graham A. Mann
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Editor information

Dickson Lukose Harry Delugach Mary Keeler Leroy Searle John Sowa

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© 1997 Springer-Verlag Berlin Heidelberg

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Mann, G.A. (1997). Rational and affective linking across conceptual cases — without rules. In: Lukose, D., Delugach, H., Keeler, M., Searle, L., Sowa, J. (eds) Conceptual Structures: Fulfilling Peirce's Dream. ICCS 1997. Lecture Notes in Computer Science, vol 1257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027891

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  • DOI: https://doi.org/10.1007/BFb0027891

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63308-2

  • Online ISBN: 978-3-540-69424-3

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