Skip to main content
SpringerLink
Log in

An Argumentation Framework for Qualitative Multi-criteria Preferences

  • Conference paper
Theorie and Applications of Formal Argumentation (TAFA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7132))

Abstract

Preferences between different alternatives (products, decisions, agreements etc.) are often based on multiple criteria. Qualitative Preference Systems (QPS) is a formal framework for the representation of qualitative multi-criteria preferences in which a criterion’s preference is defined based on the values of attributes or by combining multiple subcriteria in a cardinality-based or lexicographic way. In this paper we present a language and reasoning mechanism to represent and reason about such qualitative multi-criteria preferences. We take an argumentation-based approach and show that the presented argumentation framework correctly models a QPS. Then we extend this argumentation framework in such a way that it can derive missing information from background knowledge, which makes it more flexible in case of incomplete specifications.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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. Amgoud, L., Cayrol, C.: Inferring from inconsistency in preference-based argumentation frameworks. Journal of Automated Reasoning 29, 125–169 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  2. Kakas, A., Moraïtis, P.: Argumentation based decision making for autonomous agents. In: Autonomous Agents and Multiagent Systems (AAMAS 2003), pp. 883–890 (2003)

    Google Scholar 

  3. Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artificial Intelligence 77, 321–357 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  4. Prakken, H.: An abstract framework for argumentation with structured arguments. Argument and Computation 1(2), 93–124 (2010)

    Article  Google Scholar 

  5. Vreeswijk, G.A.W.: Abstract argumentation systems. Artificial Intelligence 90(1-2), 225–279 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  6. Prakken, H., Sartor, G.: Argument-based extended logic programming with defeasible priorities. Journal of Applied Non-Classical Logics 7, 25–75 (1997)

    MathSciNet  MATH  Google Scholar 

  7. Ouerdane, W., Maudet, N., Tsoukiàs, A.: Argumentation theory and decision aiding. In: Ehrgott, M., Figueira, J.R., Greco, S. (eds.) New Trends in Multiple Criteria Decision Analysis. Springer, Heidelberg (2010)

    Google Scholar 

  8. Amgoud, L., Prade, H.: Using arguments for making and explaining decisions. Artificial Intelligence 173(3-4), 413–436 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Bonnefon, J.F., Fargier, H.: Comparing sets of positive and negative arguments: Empirical assessment of seven qualitative rules. In: 17th European Conference on Artificial Intelligence (ECAI 2006), pp. 16–20. IOS Press (2006)

    Google Scholar 

  10. Dubois, D., Fargier, H., Bonnefon, J.F.: On the qualitative comparison of decisions having positive and negative features. Journal of Artificial Intelligence Research 32, 385–417 (2008)

    MathSciNet  MATH  Google Scholar 

  11. Bench-Capon, T.J.M.: Persuasion in practical argument using value based argumentation frameworks. Journal of Logic and Computation 13(3), 429–448 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  12. Bench-Capon, T., Atkinson, K.: Abstract argumentation and values. In: Rahwan, I., Simari, G.R. (eds.) Argumentation in Artificial Intelligence, pp. 45–64. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  13. Kaci, S., van der Torre, L.: Preference-based argumentation: Arguments supporting multiple values. International Journal of Approximate Reasoning 48(3), 730–751 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  14. van der Weide, T.L., Dignum, F., Meyer, J.-J.C., Prakken, H., Vreeswijk, G.A.W.: Practical reasoning using values. In: McBurney, P., Rahwan, I., Parsons, S., Maudet, N. (eds.) ArgMAS 2009. LNCS, vol. 6057, pp. 79–93. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Man Machine Interaction Group, Delft University of Technology, The Netherlands

    Wietske Visser, Koen V. Hindriks & Catholijn M. Jonker

Authors
  1. Wietske Visser
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Koen V. Hindriks
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Catholijn M. Jonker
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. King’s College London, Strand, WC2R 2LS, London, UK

    Sanjay Modgil

  2. University of Aberdeen, AB24 3UE, Aberdeen, Scotland, UK

    Nir Oren

  3. Department of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

    Francesca Toni

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Visser, W., Hindriks, K.V., Jonker, C.M. (2012). An Argumentation Framework for Qualitative Multi-criteria Preferences. In: Modgil, S., Oren, N., Toni, F. (eds) Theorie and Applications of Formal Argumentation. TAFA 2011. Lecture Notes in Computer Science(), vol 7132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29184-5_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29184-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29183-8

  • Online ISBN: 978-3-642-29184-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation