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Mechanism Design for Argumentation-Based Information-Seeking and Inquiry

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Book cover PRIMA 2015: Principles and Practice of Multi-Agent Systems (PRIMA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9387))

Abstract

Formal argumentation-based dialogue systems have attracted considerable research interest in the past. Most research in this area introduce “dialectical wrappers” over argumentation formalisms to model verbal interactions amongst agents, resulting in different dialogue models for different types of dialogues, e.g. inquiry or persuasion. In this work, we take a different approach by deploying a single dialogue model for different types of dialogues, focusing in particular on information-seeking and inquiry, yet equipping agents with different (game-theoretic) strategies and different utility functions in different dialogue types. We prove that the resulting dialogue-based mechanisms implement, in dominant strategies, appropriate social choice functions for the two types of dialogues we consider. Thus, we show the feasibility of studying agents in argumentation-based dialogues in game-theoretic, mechanism design terms.

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References

  1. Alcolea-Banegas, J.: Teaching argumentation theory and practice: the case of 12 angry men. In: Blackburn, P., van Ditmarsch, H., Manzano, M., Soler-Toscano, F. (eds.) Tools for Teaching Logic. LNCS, vol. 6680, pp. 1–8. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  2. Black, E., Hunter, A.: An inquiry dialogue system. JAAMAS 19, 173–209 (2009)

    Google Scholar 

  3. Dung, P.M., Kowalski, R.A., Toni, F.: Assumption-based argumentation. In: Argumentation in Artificial Intelligence, pp. 199–218. Springer (2009)

    Google Scholar 

  4. Fan, X., Toni, F.: Assumption-based argumentation dialogues. In: Proc. IJCAI (2011)

    Google Scholar 

  5. Fan, X., Toni, F.: Agent strategies for ABA-based information-seeking and Inquiry dialogues. In: Proc. ECAI (2012)

    Google Scholar 

  6. Fan, X., Toni, F.: Mechanism design for argumentation-based persuasion. In: Proc. COMMA. IOS Press (2012)

    Google Scholar 

  7. Fan, X., Toni, F.: A general framework for sound assumption-based argumentation dialogues. Artificial Intelligence 216, 20–54 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  8. Jackson, M.: Mechanism theory. In: Derigs, U. (ed.) Optimization and Operations Research. EOLSS Publishers, Oxford (2003)

    Google Scholar 

  9. McBurney, P., Parsons, S.: Dialogue games for agent argumentation. In: Argumentation in Artificial Intelligence, pp. 261–280. Springer (2009)

    Google Scholar 

  10. Modgil, S., Prakken, H.: The ASPIC\({}^{\text{+ }}\) framework for structured argumentation: a tutorial. Argument & Computation 5(1), 31–62 (2014)

    Article  Google Scholar 

  11. Prakken, H.: Formal systems for persuasion dialogue. Knowledge Engineering Review 21(2), 163–188 (2006)

    Article  Google Scholar 

  12. Toni, F.: A tutorial on assumption-based argumentation. Argument & Computation, Special Issue: Tutorials on Structured Argumentation 5(1), 89–117 (2014)

    Article  Google Scholar 

  13. Walton, D, Krabbe, E.: Commitment in Dialogue: Basic concept of interpersonal reasoning. State University of New York Press (1995)

    Google Scholar 

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Correspondence to Francesca Toni .

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Fan, X., Toni, F. (2015). Mechanism Design for Argumentation-Based Information-Seeking and Inquiry. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_34

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  • DOI: https://doi.org/10.1007/978-3-319-25524-8_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25523-1

  • Online ISBN: 978-3-319-25524-8

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