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Ranking-Based Semantics for Argumentation Frameworks

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Scalable Uncertainty Management (SUM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8078))

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Abstract

An argumentation system consists of a set of interacting arguments and a semantics for evaluating them. This paper proposes a new family of semantics which rank-orders arguments from the most acceptable to the weakest one(s). The new semantics enjoy two other main features: i) an attack weakens its target but does not kill it, ii) the number of attackers has a great impact on the acceptability of an argument. We start by proposing a set of rational postulates that such semantics could satisfy, then construct various semantics that enjoy them.

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References

  1. Amgoud, L., Vesic, S.: A new approach for preference-based argumentation frameworks. Annals of Mathematics and Artificial Intelligence 63(2), 149–183 (2011)

    Article  MathSciNet  Google Scholar 

  2. Baroni, P., Giacomin, M.: On principle-based evaluation of extension-based argumentation semantics. Artificial Intelligence 171(10-15), 675–700 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  3. Baroni, P., Giacomin, M., Guida, G.: Scc-recursiveness: a general schema for argumentation semantics. Artificial Intelligence Journal 168, 162–210 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  4. Cayrol, C., Lagasquie-Schiex, M.-C.: Graduality in Argumentation. Journal of Artificial Intelligence Research (JAIR) 23, 245–297 (2005)

    MathSciNet  MATH  Google Scholar 

  5. Dung, P., Mancarella, P., Toni, F.: Computing ideal skeptical argumentation. Artificial Intelligence Journal 171, 642–674 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  6. Dung, P.M.: On the Acceptability of Arguments and its Fundamental Role in Non-Monotonic Reasoning, Logic Programming and n-Person Games. AIJ 77, 321–357 (1995)

    MathSciNet  MATH  Google Scholar 

  7. Dunne, P.E., Hunter, A., McBurney, P., Parsons, S., Wooldridge, M.: Weighted argument systems: Basic definitions, algorithms, and complexity results. Artificial Intelligence 175(2), 457–486 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  8. García, A., Simari, G.: Defeasible logic programming: an argumentative approach. Theory and Practice of Logic Programming 4(1-2), 95–138 (2004)

    Article  MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. IRIT – CNRS, 118, route de Narbonne, 31062, Toulouse Cedex 09, France

    Leila Amgoud & Jonathan Ben-Naim

Authors
  1. Leila Amgoud
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  2. Jonathan Ben-Naim
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Editor information

Editors and Affiliations

  1. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, BT9 5BN, Belfast, UK

    Weiru Liu

  2. Department of Computer Science, University of Maryland, 20742, College Park, MD, USA

    V. S. Subrahmanian

  3. Département d’Informatique, Université de Mons, 7000, Mons, Belgium

    Jef Wijsen

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© 2013 Springer-Verlag Berlin Heidelberg

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Amgoud, L., Ben-Naim, J. (2013). Ranking-Based Semantics for Argumentation Frameworks. In: Liu, W., Subrahmanian, V.S., Wijsen, J. (eds) Scalable Uncertainty Management. SUM 2013. Lecture Notes in Computer Science(), vol 8078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40381-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-40381-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40380-4

  • Online ISBN: 978-3-642-40381-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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