Towards Agent-Oriented Relevant Information

  • Laurence Cholvy
  • Stéphanie Roussel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5253)

Abstract

In this paper, we give some elements about agent-oriented relevance. For that, we define a new modal operator \(R_a^Q \) so that \(R_a^Q \varphi \) means that ϕ is relevant for agent a concerning the request Q. We discuss properties of this new operator, as well as its extensions and limits.

Keywords

information relevance multi-agent systems information need 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Herzig, A., Longin, D.: A logic of intention with cooperation principles and with assertive speech acts as communication primitives. In: Castelfranchi, C., Johnson, W.L. (eds.) AAMAS 2000 and AAMAS 2002, pp. 920–927. ACM Press, New York (2002)CrossRefGoogle Scholar
  2. 2.
    Alchourrón, C., Gärdenfors, P., Makinson, D.: On the logic of theory change: partial meet contraction and revision functions. Journal of Symbolic Logic 50, 510–530 (1985)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Darwiche, A.: A logical notion of conditional independence: properties and applications. Artificial Intelligence, 45–82 (December 1997)Google Scholar
  4. 4.
    Voishvillo, E.K.: Philosophical-methodological aspects of relevant logic. Bulletin of Section of Logic 18/4, 146–151 (1989)MathSciNetGoogle Scholar
  5. 5.
    Chellas, B.F.: Modal logic: An introduction. Cambridge University Press, Cambridge (1980)MATHGoogle Scholar
  6. 6.
    Crestani, F., Lalmas, M.: Logic and uncertainty in information retrieval, pp. 179–206 (2001)Google Scholar
  7. 7.
    Enderton, H.B.: A Mathematical Introduction to Logic. Academic Press, London (1972)MATHGoogle Scholar
  8. 8.
    Chevallet, J.P.: Modélisation logique pour la recherche d’information, Hermes, pp. 105–138 (2004)Google Scholar
  9. 9.
    Floridi, L.: Understanding epistemic relevance. Erkenntniss (2007)Google Scholar
  10. 10.
    Lakemeyer, G.: Relevance from an epistemic perspective. Artif. Intell. 97(1-2), 137–167 (1997)MATHCrossRefMathSciNetGoogle Scholar
  11. 11.
    Levy, A.Y., Fikes, R.E., Sagiv, Y.: Speeding up inferences using relevance reasoning: a formalism and algorithms. Artif. Intell. 97(1-2), 83–136 (1997)MATHCrossRefMathSciNetGoogle Scholar
  12. 12.
    Lalmas, M., van Rijsbergen, C.J.: A model of information retrieval system based on situation theory and dempster-shafer theory of evidence. In: Proceedings of the 1st Workshop on Incompleteness and Uncertainty in Information Systems, pp. 62–67 (1993)Google Scholar
  13. 13.
    Wooldridge, M.: Reasoning about rational agents. MIT Press, Cambridge (2000)MATHGoogle Scholar
  14. 14.
    Borlund, P.: The Concept of Relevance in IR. Journal of the American Society for Information Science and Technology 54(10), 913–925 (2003)CrossRefGoogle Scholar
  15. 15.
    Tagawa, T., Cheng, J.: Deontic relevant logic: A strong relevant logic approach to removing paradoxes from deontic logic. In: Ishizuka, M., Sattar, A. (eds.) PRICAI 2002. LNCS (LNAI), vol. 2417, pp. 39–48. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  16. 16.
    Wilson, T.D.: Models in information behaviour research. Journal of Documentation 55(3), 249–270 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Laurence Cholvy
    • 1
  • Stéphanie Roussel
    • 1
    • 2
  1. 1.ONERA Centre de ToulouseToulouseFrance
  2. 2.ISAEToulouseFrance

Personalised recommendations