Top

Published in:

2019 | OriginalPaper | Chapter

Learning Individual and Group Preferences in Abstract Argumentation

Authors : Nguyen Duy Hung, Van-Nam Huynh

Published in: PRICAI 2019: Trends in Artificial Intelligence

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In Abstract Argumentation, given the same AA framework rational agents accept the same arguments unless they reason by different AA semantics. Real agents may not do so in such situations, and in this paper we assume that this is because they have different preferences over the confronted arguments. Hence by reconstructing their reasoning processes, we can learn their hidden preferences, which then allow us to predict what else they must accept. Concretely we formalize and develop algorithms for such problems as learning the hidden preference relation of an agent from his expressed opinion, by which we mean a subset of arguments or attacks he accepted; and learning the collective preferences of a group from a dataset of individual opinions. A major challenge we addressed in this endeavor is to represent and reason with “answer sets” of preference relations which are generally exponential or even infinite.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Semantics of Opinion Transitions in Multi-Agent Forum Argumentation

next chapter Epistemic Argumentation Framework

This AAF is used in all running examples throughout the paper.

The unexpressed conclusion of this argument is that Judge Kavanaugh is not qualified to be a Justice. Hence F attacks T.

We focus on the grounded semantics but our approach can be extended to others.

An algorithmic form of function Follow can be easily worked out but we skip this.

CNN poll conducted by SSRS. http://cdn.cnn.com/cnn/2018/images/10/08/rel9a.-.kavanaugh.pdf. Accessed Oct 2018

Amgoud, L., Cayrol, C.: A reasoning model based on the production of acceptable arguments. Ann. Math. AI 34(1–3), 197–215 (2002)MathSciNetMATH

Amgoud, L., Cayrol, C., Lagasquie-Schiex, M.C., Livet, P.: On bipolarity in argumentation frameworks. Int. J. Intell. Syst. 23(10), 1062–1093 (2008)CrossRef

Baroni, P., Cerutti, F., Giacomin, M., Guida, G.: Encompassing attacks to attacks in abstract argumentation frameworks. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS (LNAI), vol. 5590, pp. 83–94. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02906-6_9CrossRefMATH

Bench-Capon, T.: Persuasion in practical argument using value-based argumentation frameworks. J. Logic Comput. 13(3), 429–448 (2003)MathSciNetCrossRef

Bench-Capon, T., Atkinson, K.: Abstract argumentation and values. In: Simari, G., Rahwan, I. (eds.) Argumentation in Artificial Intelligence, pp. 45–64. Springer, Boston (2009). https://doi.org/10.1007/978-0-387-98197-0_3CrossRef

Benferhat, S., Dubois, D., Prade, H.: Argumentative inference in uncertain and inconsistent knowledge bases. In: Uncertainty in AI. Morgan Kaufmann (1993)

Brewka, G.: Preferred subtheories: an extended logical framework for default reasoning. In: IJCAI 1989, pp. 1043–1048 (1989)

Brewka, G.: Reasoning about priorities in default logic. In: AAAI, pp. 940–945 (1994)

10.

Brewka, G., Woltran, S.: Abstract dialectical frameworks. In: Proceedings of KR 2010, pp. 102–111. AAAI Press (2010)

11.

Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. AIJ 77(2), 321–357 (1995)MathSciNetMATH

12.

Dung, P.M., Kowalski, R.A., Toni, F.: Assumption-based argumentation. In: Simari, G., Rahwan, I. (eds.) Argumentation in Artificial Intelligence, pp. 199–218. Springer, Boston (2009). https://doi.org/10.1007/978-0-387-98197-0_10CrossRef

13.

Hanh, D.D., Dung, P.M., Hung, N.D., Thang, P.M.: Inductive defense for sceptical semantics of extended argumentation. J. Logic Comput. 21(1), 307–349 (2010)MathSciNetMATH

14.

Mahesar, Q., Oren, N., Vasconcelos, W.W.: Computing preferences in abstract argumentation. In: Miller, T., Oren, N., Sakurai, Y., Noda, I., Savarimuthu, B.T.R., Cao Son, T. (eds.) PRIMA 2018. LNCS (LNAI), vol. 11224, pp. 387–402. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03098-8_24CrossRef

15.

Modgil, S.: Reasoning about preferences in argumentation frameworks. AIJ 173(9–10), 901–934 (2009)MathSciNetMATH

16.

Pigozzi, G., Tsoukiàs, A., Viappiani, P.: Preferences in artificial intelligence. Ann. Math. Artif. Intell. 77(3), 361–401 (2016)MathSciNetCrossRef

17.

Thang, P.M., Dung, P.M., Hung, N.D.: Towards a common framework for dialectical proof procedure in abstract argumentation. J. Logic Comput. 19(6), 1071–1109 (2009) MathSciNetCrossRef

18.

Wikipedia. Page name: Brett kavanaugh supreme court nomination. Accessed July 2019

Title: Learning Individual and Group Preferences in Abstract Argumentation
Authors: Nguyen Duy Hung
Van-Nam Huynh
Publisher: Springer International Publishing
Book: PRICAI 2019: Trends in Artificial Intelligence
Print ISBN: 978-3-030-29907-1

Electronic ISBN: 978-3-030-29908-8

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-29908-8_55

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner