Abstract
We tackle the problem of expressing incomplete knowledge about the attack relation in abstract argumentation frameworks. In applications, incomplete argumentation frameworks may arise as intermediate states in an elicitation process, when merging different beliefs about an argumentation framework’s state, or in cases where the complete information cannot be fully obtained. To this end, we employ a model introduced by Cayrol et al. [10] and analyze the question of whether certain justification criteria are possibly (or necessarily) fulfilled, i.e., whether they are fulfilled in some (or in every) completion of the incomplete argumentation framework. We formally extend the definition of existing criteria to these incomplete argumentation frameworks and provide characterization and complexity results for variants of the verification problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Besides four faculties of HHU Düsseldorf and the Fachhochschule für öffentliche Verwaltung NRW, the practice partners of this project include registered societies, limited liability companies, and the municipal councils of Köln, Bonn, and Münster, among others. We refer to the website http://www.fortschrittskolleg.de for more details.
- 2.
- 3.
In addition to these semantics we also use conflict-freeness and admissibility as criteria. While these are generally not considered to be semantics, we will not always explicitly distinguish between semantics and basic properties for the sake of conciseness.
- 4.
Unlike the concepts of credulous and skeptical acceptance in the related literature, which denote membership of arguments in, respectively, some and all extensions of a specific argumentation framework, our notions of properties holding possibly and necessarily describe criteria holding in, respectively, some and all argumentation frameworks (i.e., completions), and are therefore settled one level of abstraction higher.
- 5.
A set of arguments is \( RI \) -preferred if it is maximal among all necessarily admissible sets, where \( R \widehat{=} \mathscr {R}^{+}\) and \( I \widehat{=} \mathscr {R}^{?}\) in our notation.
- 6.
For formal definitions of these criteria, see their work [10].
References
Baumeister, D., Rothe, J.: Preference aggregation by voting (chapter 4). In: Rothe, J. (ed.) Economics and Computation: An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division, pp. 197–325. Springer, Heidelberg (2015). doi:10.1007/978-3-662-47904-9_4
Baumeister, D., Roos, M., Rothe, J.: Computational complexity of two variants of the possible winner problem. In: Proceedings of AAMAS 2011, pp. 853–860. IFAAMAS (2011)
Baumeister, D., Roos, M., Rothe, J., Schend, L., Xia, L.: The possible winner problem with uncertain weights. In: Proceedings of ECAI 2012, pp. 133–138. IOS Press (2012)
Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J.: Complexity of manipulation and bribery in judgment aggregation for uniform premise-based quota rules. Math. Soc. Sci. 76, 19–30 (2015)
Baumeister, D., Rothe, J., Schadrack, H.: Verification in argument-incomplete argumentation frameworks. In: Walsh, T. (ed.) ADT 2015. LNCS (LNAI), vol. 9346, pp. xx–yy. Springer, Heidelberg (2015)
Boella, G., Kaci, S., van der Torre, L.: Dynamics in with single extensions: abstraction principles and the grounded extension. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS, vol. 5590, pp. 107–118. Springer, Heidelberg (2009)
Boutilier, C., Rosenschein, J.: Incomplete information and communication in voting (chapter 10). In: Brandt, F., Conitzer, V., Endriss, U., Lang, J., Procaccia, A. (eds.) Handbook of Computational Social Choice. Cambridge University Press, Cambridge (2015)
Bouveret, S., Endriss, U., Lang, J.: Fair division under ordinal preferences: computing envy-free allocations of indivisible goods. In: Proceedings of ECAI 2010, pp. 387–392. IOS Press (2010)
Brandt, F., Conitzer, V., Endriss, U.: Computational social choice. In: Weiß, G. (ed.) Multiagent Systems, 2nd edn, pp. 213–283. MIT Press, Cambridge (2013)
Cayrol, C., Devred, C., Lagasquie-Schiex, M.C.: Handling ignorance in argumentation: semantics of partial argumentation frameworks. In: Mellouli, K. (ed.) ECSQARU 2007. LNCS (LNAI), vol. 4724, pp. 259–270. Springer, Heidelberg (2007)
Cayrol, C., de Saint-Cyr, F., Lagasquie-Schiex, M.: Revision of an argumentation system. In: Proceedings of KR 2008, pp. 124–134. AAAI Press (2008)
Cayrol, C., de Saint-Cyr, F., Lagasquie-Schiex, M.: Change in abstract argumentation frameworks: adding an argument. J. Artif. Intell. Res. 38, 49–84 (2010)
Chevaleyre, Y., Lang, J., Maudet, N., Monnot, J., Xia, L.: New candidates welcome! Possible winners with respect to the addition of new candidates. Math. Soc. Sci. 64(1), 74–88 (2012)
Coste-Marquis, S., Konieczny, S., Mailly, J., Marquis, P.: On the revision of argumentation systems: minimal change of arguments statuses. In: Proceedings of KR 2014. AAAI Press (2014)
Dimopoulos, Y., Torres, A.: Graph theoretical structures in logic programs and default theories. Theoret. Comput. Sci. 170(1), 209–244 (1996)
Doder, D., Woltran, S.: Probabilistic argumentation frameworks – a logical approach. In: Straccia, U., Calì, A. (eds.) SUM 2014. LNCS, vol. 8720, pp. 134–147. Springer, Heidelberg (2014)
Dung, P.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and \(n\)-person games. Artif. Intell. 77(2), 321–357 (1995)
Dunne, P., Wooldridge, M.: Complexity of abstract argumentation (chapter 5). In: Rahwan, I., Simari, G. (eds.) Argumentation in Artificial Intelligence, pp. 85–104. Springer, New York (2009)
Fazzinga, B., Flesca, S., Parisi, F.: On the complexity of probabilistic abstract argumentation. In: Proceedings of IJCAI 2013, pp. 898–904. AAAI Press/IJCAI (2013)
Fazzinga, B., Flesca, S., Parisi, F.: Efficiently estimating the probability of extensions in abstract argumentation. In: Liu, W., Subrahmanian, V.S., Wijsen, J. (eds.) SUM 2013. LNCS, vol. 8078, pp. 106–119. Springer, Heidelberg (2013)
Hemaspaandra, E., Hemaspaandra, L., Rothe, J.: The complexity of online manipulation of sequential elections. J. Comput. Syst. Sci. 80(4), 697–710 (2014)
Hunter, A.: Probabilistic qualification of attack in abstract argumentation. Int. J. Approximate Reasoning 55(2), 607–638 (2014)
Konczak, K., Lang, J.: Voting procedures with incomplete preferences. In: Proceedings of Multidisciplinary IJCAI 2005 Workshop on Advances in Preference Handling, pp. 124–129 (2005)
Lang, J., Rey, A., Rothe, J., Schadrack, H., Schend, L.: Representing and solving hedonic games with ordinal preferences and thresholds. In: Proceedings of AAMAS 2015. IFAAMAS (2015)
Li, H., Oren, N., Norman, T.J.: Probabilistic argumentation frameworks. In: Modgil, S., Oren, N., Toni, F. (eds.) TAFA 2011. LNCS, vol. 7132, pp. 1–16. Springer, Heidelberg (2012)
Liao, B., Jin, L., Koons, R.: Dynamics of argumentation systems: a division-based method. Artif. Intell. 175(11), 1790–1814 (2011)
Meyer, A., Stockmeyer, L.: The equivalence problem for regular expressions with squaring requires exponential space. In: Proceedings of FOCS 1972, pp. 125–129. IEEE Press (1972)
Papadimitriou, C.: Computational Complexity, 2nd edn. Addison-Wesley, New York (1995). Reprinted with corrections
Parkes, D., Procaccia, A.: Dynamic social choice with evolving preferences. In: Proceedings of AAAI 2013, pp. 767–773. AAAI Press (2013)
Rahwan, I., Simari, G. (eds.): Argumentation in Artificial Intelligence. Springer, New York (2009)
Rienstra, T.: Towards a probabilistic Dung-style argumentation system. In: Proceedings of AT 2012, pp. 138–152 (2012)
Rothe, J.: Complexity Theory and Cryptology: An Introduction to Cryptocomplexity. EATCS Texts in Theoretical Computer Science. Springer, Heidelberg (2005)
Stockmeyer, L.: The polynomial-time hierarchy. Theoret. Comput. Sci. 3(1), 1–22 (1976)
Xia, L., Conitzer, V.: Determining possible and necessary winners given partial orders. J. Artif. Intell. Res. 41, 25–67 (2011)
Acknowledgments
We thank the anonymous reviewers for their helpful comments. This work was supported in part by an NRW grant for gender-sensitive universities and the project “Online Participation,” both funded by the NRW Ministry for Innovation, Science, and Research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Baumeister, D., Neugebauer, D., Rothe, J. (2015). Verification in Attack-Incomplete Argumentation Frameworks. In: Walsh, T. (eds) Algorithmic Decision Theory. ADT 2015. Lecture Notes in Computer Science(), vol 9346. Springer, Cham. https://doi.org/10.1007/978-3-319-23114-3_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-23114-3_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23113-6
Online ISBN: 978-3-319-23114-3
eBook Packages: Computer ScienceComputer Science (R0)