Skip to main content

Influencing the Beliefs of a Dialogue Partner

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9883))

Abstract

A model of argumentation dialogue which includes reasoning is introduced in the paper. The communicative goal of the initiator is to convince the partner to do an action. The choice of an argument depends, on the one hand, on the needed resources and the beliefs about the positive and negative aspects of doing the action, and on the other hand, on the result of reasoning based on these beliefs. The initiator of dialogue is using a partner model – the hypothetical beliefs about the partner who at the same time operates with the actual beliefs. Both the participants’ models are changing during a dialogue as influenced by the partners’ arguments. Two implementations have been created. In one implementation, the computer initiates a dialogue and attempts to influence the user to make a decision about doing an action. In the other implementation, the roles of the computer and the user are reversed. Interaction is text-based, participants are using ready-made sentences in natural language which are classified semantically. The paper studies how the participants are updating their beliefs in dialogue. The study is based on the interactions with our dialogue systems.

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

References

  1. Bos, J., Klein, E., Lemon, O., Oka, T.: DIPPER: description and formalisation of an information-state update dialogue system architecture. In: Proceedings of SIGDial Workshop on Discourse and Dialogue, Sapporo, pp. 115–124 (2003). http://sigdial.org/workshops/workshop.4/proceedings/11_SHORT_bos_dipper.pdf

  2. Jurafsky, D., Martin, J.M.: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall, Upper Saddle River (2009)

    Google Scholar 

  3. Cohen, P.R., Perrault, C.R.: Elements of a plan-based theory of speech acts. Cogn. Sci. 3, 177–212 (1979)

    Article  Google Scholar 

  4. Galitsky, B.: Exhaustive simulation of consecutive mental states of human agents. Knowl.-Based Syst. 43, 1–20 (2012). http://dx.doi.org/10.1016/j.knosys.2012.11.001

    Article  Google Scholar 

  5. Traum, D.R., Larsson, S.: The information state approach to dialogue management. In: van Kuppevelt, J., Smith, R.W. (eds.) Current and New Directions in Discourse and Dialogue. TSLT, vol. 22, pp. 325–353. Springer, Dordrecht (2003)

    Chapter  Google Scholar 

  6. Nestorovič, T.: A frame-based dialogue management approach. In: 2nd International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2009, pp. 327–332 (2009). http://dx.doi.org/10.1109/ICADIWT.2009.5273964

  7. Young, S., Schatzmann, J., Thomson, B., Weilhammer, K., Ye, H.: The hidden information state dialogue manager: a real-world POMDP-based system. In: Proceedings of NAACL HLT, Rochester pp. 27–28 (2007)

    Google Scholar 

  8. Williams, J.D.: A belief tracking challenge task for spoken dialog systems. In: Proceedings of NAACL HLT 2012 Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data, Association for Computational Linguistics, p. 2 (2012). http://research.microsoft.com/pubs/163683/naaclhlt2012.pdf

  9. Koit, M., Õim, H.: A computational model of argumentation in agreement negotiation processes. Argum. Comput. 5(2–3), 209–236 (2014). Taylor & Francis, http://dx.doi.org/10.1080/19462166.2014.915233

    Google Scholar 

  10. Amgoud, L., Besnard, P., Hunter, A.: Logical representation and analysis for RC-arguments. In: Proceedings of ICTAI, p. 8 (2015). www.irit.fr/~Leila.Amgoud/ictai2015-1.pdf

Download references

Acknowledgments

This study was supported by the Estonian Ministry of Education and Research (IUT20-56), and by the European Union through the European Regional Development Fund (Centre of Excellence in Estonian Studies).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mare Koit .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Koit, M. (2016). Influencing the Beliefs of a Dialogue Partner. In: Dichev, C., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2016. Lecture Notes in Computer Science(), vol 9883. Springer, Cham. https://doi.org/10.1007/978-3-319-44748-3_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-44748-3_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44747-6

  • Online ISBN: 978-3-319-44748-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics