Skip to main content

Ascribing and Weighting Beliefs in Deceptive Information Exchanges

  • Conference paper
  • First Online:
User Modeling 2001 (UM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2109))

Included in the following conference series:

Abstract

Humans apply a large variety of deception forms in their communicative acts; they are not necessarily ‘uncooperative’ in doing so, as they may even deceive for the benefit of their interlocutors [2,3]. Deception may be active or passive, according to whether the Speaker does something or not, to achieve his goal. It may be applied directly to the deception object p or may indirectly influence it through some ‘deception medium’ q that may be a cause, an effect or a diverting cause or effect of p. In this short paper, we examine how deception may be simulated if mental states are represented as belief networks and various weights are attached to beliefs.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ballim, A., Wilks, Y.: Beliefs, stereotypes ad dynamic agent modeling. User Modeling and User-Adapted Interaction, 1, 1, 1991.

    Google Scholar 

  2. Castelfranchi, C., Poggi, I.: Lying as pretending to give information. Pretending to Communicate, H. Parret (Ed), Springer Verlag, 1993.

    Google Scholar 

  3. Castelfranchi, C., de Rosis, F., Grasso, F.: Deception and suspicion in medical interactions; towards the simulation of believable dialogues. Machine Conversations, Y Wilks (Ed), Kluwer Series in Engineering and Computer Science, 511, 1999.

    Google Scholar 

  4. de Rosis, F., Castelfranchi, C., Carofiglio, V.: Can computers deliberately deceive? A simulation attempt of Turing’s Imitation Game. Sumbitted for publication.

    Google Scholar 

  5. Ndiaye, A. and Jameson, A.: Predictive role taking in dialog: global anticipation feedback based on transmutability. In Proc. 5th Int. Conf. on User Modeling, KailuaKona, Hawaii, 137–144, 1996

    Google Scholar 

  6. Taylor, J.A., Carletta, J., Mellish, C.: Requirements for belief models in Cooperative dialogue. User Modeling and User-Adapted Interaction, 6, 1, 1996.

    Google Scholar 

  7. Zukerman, I., Jinath, N., McConachy, R., George, S.: Recognising intentions from rejoinders in a bayesian interactive argumentation system. In PRICAI 2000 Proceedings, Melbourne. 8.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Carofiglio, V., de Rosis, F., Castelfranchi, C. (2001). Ascribing and Weighting Beliefs in Deceptive Information Exchanges. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds) User Modeling 2001. UM 2001. Lecture Notes in Computer Science(), vol 2109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44566-8_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-44566-8_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42325-6

  • Online ISBN: 978-3-540-44566-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics