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Cooperating to be noncooperative: The dialog system PRACMA

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KI-94: Advances in Artificial Intelligence (KI 1994)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 861))

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Abstract

The modeling of noncooperative dialogs, as opposed to dialogs in which the goals of the participants coincide, presents novel challenges to a pragmatically oriented dialog system. Pracma models noncooperative sales dialogs. In the role of the potential buyer of a used car, the system tries to arrive at a realistic evaluation of the unknown car in spite of biased information presentation on the part of the seller. In the role of the seller, Pracma tries to form a usable model of the buyer even while using this model to manipulate the buyer's impressions. To realize this behavior, heterogeneous modules and representation formalisms cooperate within a multi-agent architecture.

This research is being supported by the German Science Foundation (DFG) in its Special Collaborative Research Program on Artificial Intelligence and Knowledge-Based Systems (SFB 314), project N1, PRACMA. Substantial programming support has been provided by A. Fiedler, R. Knop, T. wagner, A. Werner, and C. Wirtz.

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References

  1. Cawsey, A., Galliers, J. R., Reece, S., & Sparck Jones, K. (1992). A comparison of architectures for autonomous multi-agent communication. Proceedings of the Tenth ECAI, Vienna, 249–251.

    Google Scholar 

  2. Hustadt, U., & Nonnengart, A. (1993). Modalities in knowledge representation. Proceedings of the Sixth Australian Joint Conference on Artificial Intelligence, Sydney, 249–254.

    Google Scholar 

  3. Jameson, A. (1989). But what will the listener think? Belief ascription and image maintenance in dialog. In A. Kobsa & W. Wahlster (Eds.), User models in dialog systems (pp. 255–312). Berlin: Springer.

    Google Scholar 

  4. Jameson, A., & Schäfer, R. (1993). Probabilistische Einschätzung von Wissen und Interessen. Die Anwendung der intuitiven Psychometrik im Dialogsystem PRACMA. Arbeitspapiere des Workshops Adaptivität und Benutzer modellierung in interaktiven Softwaresystemen, 100–117. Report 30/93, Project BGP-MS, Dept. of Information Science, University of Konstanz, Germany.

    Google Scholar 

  5. Kipper, B. (1994). A blackboard architecture for natural language analysis. Proceedings of the Seventh Florida AI Research Symposium, Pensacola Beach, FL.

    Google Scholar 

  6. Kipper, B., & Jameson, A. (1994). Semantics and pragmatics of vague probability expressions. Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, Atlanta.

    Google Scholar 

  7. Laubsch,J., & Nerbonne,J. (1991). An overview of NLL. Technical report, Hewlett Packard Laboratories, Palo Alto, CA.

    Google Scholar 

  8. Moore, J. D., & Paris, C. L. (1989). Planning text for advisory dialogues. Proceedings of the Twenty-Seventh Annual Meeting of the ACL, Vancouver, 203–211.

    Google Scholar 

  9. Ndiaye, A., & Jameson, A. (1994). Supporting flexibility and transmutability: Multi-agent processing and role-switching in a pragmatically oriented dialog system. Proceedings of the Sixth International Conference on Artificial Intelligence: Methodology, Systems, Applications, Sofia, Bulgaria.

    Google Scholar 

  10. Pearl, J. (1991). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Mateo, CA: Morgan Kaufmann. (Revised second printing).

    Google Scholar 

  11. Sabah, G., & Briffault, X. (1993). CARAMEL: A step towards reflection in natural language understanding systems. Proceedings of the Fifth IEEE International Conference on Tools with AI, Boston.

    Google Scholar 

  12. Stefanini, M.-H., Berrendonner, A., Lallich, G., & Oquendo, F. (1992). TALISMAN: Un système multi-agents gouverné par des lois linguistiques pour le traitement de la langue naturelle. Proceedings of the Fourteenth COLING, Nantes.

    Google Scholar 

  13. Wahlster, W., & Kobsa, A. (1989). User models in dialog systems. In A. Kobsa & W. Wahlster (Eds.), User models in dialog systems (pp. 4–34). Berlin: Springer.

    Google Scholar 

  14. Weis, T. (1994). VIPER: Ein verteilter inkrementeller Dialogplaner für eine Multi-Agenten-Umgebung. Master's thesis, Dept. of Computer Science, University of Saarbrücken.

    Google Scholar 

  15. A. Yonezawa (Ed.) (1990). ABCL: An object-oriented concurrent system. Cambridge, MA: MIT Press.

    Google Scholar 

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Bernhard Nebel Leonie Dreschler-Fischer

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© 1994 Springer-Verlag Berlin Heidelberg

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Jameson, A. et al. (1994). Cooperating to be noncooperative: The dialog system PRACMA. In: Nebel, B., Dreschler-Fischer, L. (eds) KI-94: Advances in Artificial Intelligence. KI 1994. Lecture Notes in Computer Science, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58467-6_10

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  • DOI: https://doi.org/10.1007/3-540-58467-6_10

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  • Online ISBN: 978-3-540-48979-5

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