Skip to main content

Dialogue in Rough Context

  • Conference paper
Rough Sets and Current Trends in Computing (RSCTC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3066))

Included in the following conference series:

Abstract

Two agents Ag 1 and Ag 2 confront each other with their own perspectives represented by approximation spaces (U,R 1) and (U,R 2) [3]. They enter into a dialogue (negotiation) over either the extension of the same ‘concept’ or over two pieces of information or beliefs, A and B, the first for Ag 1 and the second for Ag 2 respectively, which are subsets of U. A combined approximation space (U,R) emerges out of the superimposition of the equivalence classes due to R 1 and R 2.

Each agent performs some specified operations one at a time. After an operation by an agent the turn comes to the co-agent. Rounds and effects of rounds are then defined. A dialogue is a sequence of rounds.

There are certain rules of the game that depend on the three approximation spaces.

The result of a dialogue after n rounds starting with the initial sets A,B is a pair (A n ,B n ), A n ,B n being supersets of A and B respectively. A dialogue is characterised depending on the various kinds of overlap of the sets A n and B n and their lower and upper approximations. It is satisfactory if the sets A n and B n turn out to be roughly equal with respect to the approximation space (U,R). Dialogues of lower satisfaction are not altogether rejected. This latter type generalizes the notion of Belief-Merging [2].

Some preliminary observations are made and future directions of work are indicated.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Banerjee, M., Chakraborty, M.K.: A category for rough sets. Foundations of Computing and Decision Sciences 18(3-4), 167–180 (1993)

    MathSciNet  Google Scholar 

  2. Booth, R.: A negotiation style framework for non-prioritized revision. Preprint, University of Leipzig (2003)

    Google Scholar 

  3. Pawlak, Z.: Rough sets. Int. J. Comp. Inf. Sci. 11, 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  4. Walton, D.N., Krabbe, E.C.W.: Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning. SUNY Press, Albany (1995)

    Google Scholar 

  5. Wooldridge, H.J., Parsons, S.: Languages for negotiation. In: Proc. 14th European Conf. on AI, ECAI 2000 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chakraborty, M.K., Banerjee, M. (2004). Dialogue in Rough Context. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25929-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22117-3

  • Online ISBN: 978-3-540-25929-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics