Skip to main content
Log in

On argument acceptability change towards legal interpretation dynamics

  • Original Research
  • Published:
Artificial Intelligence and Law Aims and scope Submit manuscript

Abstract

We propose a formal theory built upon an abstract argumentation framework for handling argumentation dynamics. To that end, we analyze the acceptability dynamics of arguments through the proposal of two different kinds of sets of arguments which are somehow responsible for the acceptability/rejection of a given argument. We develop a study of the consequences of breaking the construction of such sets towards the acceptance of an analyzed argument. This brings about the proposal of a novel change operation which allows to determine which arguments should be removed from the framework so that another particular argument becomes accepted. Finally, the proposed model is formalized in the light of the theory of belief revision by characterizing the corresponding operations through constructive definition and an axiomatic characterization, connecting them through the corresponding representation theorem. The theoretical proposal constitutes the fundamentals for a system implementation in many dynamic domains of application. In particular, we show its application for handling the dynamics of legal interpretation. In that sense, this proposal constitutes a fundamental approach and theoretical justification to handle the dynamics of legal arguments through changes of interpretative canons. We show a possible concretisation of our abstract theory for the legal domain by analysing a real legal case from the Argentinean jurisprudence. Such a system would be capable of suggesting alternative critical points in the current state of affairs of a legal case towards pursuing a specific goal for which the case is being investigated.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Notes

  1. It is important to keep in mind that we work in the context of civil (or continental) law systems which have some specific particularities regarding the way legal decisions are bound to precedents. The binding to precedents in the civil law is flexible and subjective: references to precedents are usual for providing legal support to decisions, but whether they are fully or partially followed in a fresh case is open to the sole judge’s decision. Precedent’s strength is not comparable to norms’ inferred from written legal codes. Thus, legal interpretations, defined by the application of some of the alternative interpretative canons, are mostly a responsibility of each judge. It is for that reason that legal interpretations can be seen as a particular subjective practice in the civil law.

  2. The notation \(\wp ({\varTheta })\) is used for referring to the powerset of \({\varTheta }\).

  3. In the context of legal reasoning, we assume a legal criterion which renders a hierarchical preference from a legal viewpoint. For instance, it will be preferred those sets of arguments based on formal regulations over arguments that appear from the application of interpretative canons. However, relying only on such idea may be somehow naive, since it is highly likely that extensions include arguments constructed upon both such legal sources. In Sect. 6 we will discuss an alternative for the definition of an appropriate legal criterion to determine a univocal preference relation among extensions.

  4. Inverting the Levi identity leads to an inconsistent intermediate state. This is not an issue in argumentation since we only incorporate new pairs to the defeat relation. The inversion of the Levi identity is also safe for structured and logic-based argumentation as is shown in Moguillansky et al. (2012), Moguillansky (2016) and Moguillansky and Simari (2017).

  5. In the context of legal reasoning, the best representative remainder would be the least valuable in accordance to the legal criterion referred in Eq. 4. As we will see, this should be constructed by looking for the related best valuable partially admissible set. This will be clear from its application to a legal case in Sect. 5 and its further discussion in Sect. 6.

  6. Please refer to Sect. 6 for a discussion on the concretisation of a legal criterion.

  7. http://argumentationcompetition.org.

  8. Since weighing legal arguments can depend on rates, it would be possible to determine in advance whenever a current calculus will not be enough for outweighing a previously constructed extension. Of course, this would depend on the concrete formalisation of a legal criterion.

References

  • Alchourrón C, Gärdenfors P, Makinson D (1985) On the logic of theory change: partial meet contraction and revision functions. J Symb Log 50:510–530

    Article  MathSciNet  Google Scholar 

  • Amgoud L (2014) Postulates for logic-based argumentation systems. Int J Approx Reason 55(9):2028–2048

    Article  MathSciNet  Google Scholar 

  • Araszkiewicz M (2013) Towards systematic research on statutory interpretation in AI and law. In: Proceedings of JURIX 2013. IOS Press

  • Araszkiewicz M (2014) Scientia juris: a missing link in the modelling of statutory reasoning. In: Proceedings of JURIX 2014. IOS Press

  • Araszkiewicz M, Zurek T (2015) Comprehensive framework embracing the complexity of statutory interpretation. In: Legal knowledge and information systems—JURIX 2015: the twenty-eighth annual conference, Braga, Portugal, December 10–11, 2015, pp 145–148

  • Baumann R (2012) What does it take to enforce an argument? Minimal change in abstract argumentation. In: ECAI 2012, Montpellier, France, 2012, volume 242 of frontiers in artificial intelligence and applications. IOS Press, pp 127–132

  • Baumann R, Brewka G (2010) Expanding argumentation frameworks: enforcing and monotonicity results. In: COMMA 2010, D. del Garda, Italy, 2010, volume 216 of frontiers in artificial intelligence and applications. IOS Press, pp 75–86

  • Baumann R, Brewka G (2015) AGM meets abstract argumentation: expansion and revision for dung frameworks. In: Yang Q, Wooldridge MJ (eds) Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25–31, 2015. AAAI Press, pp 2734–2740

  • Beltrán JF (2018) Prolegómenos para teoría sobre los estándares de prueba. El test case de la responsabilidad del Estado por prisión preventiva errónea. In: Papayannis D, Pereira E (eds) Filosofía del derecho privado, Madrid (ESP), 2018. Marcial Pons, pp 401–430

  • Bench-Capon T (2002) The missing link revisited: the role of teleology in representing legal argument. Artif Intell Law 10(1–3):79–94

    Article  Google Scholar 

  • Besnard P, Hunter A (2008) Elements of argumentation. The MIT Press, Cambridge

    Book  Google Scholar 

  • Booth R, Caminada M, Podlaszewski M, Rahwan I (2012) Quantifying disagreement in argument-based reasoning. In: AAMAS 2012, Valencia, Spain, 2012. IFAAMAS, pp 493–500

  • Booth R, Kaci S, Rienstra T, van der Torre LWN (2013) A logical theory about dynamics in abstract argumentation. In: SUM 2013, Washington, DC, USA, 2013. Proceedings, volume 8078 of LNCS. Springer, pp 148–161

  • Brozek B (2013) Legal interpretation and coherence. In: Araszkiewicz M, Savelka J (eds) Coherence: insights from philosophy, jurisprudence and artificial intelligence. Springer, Berlin

    Google Scholar 

  • Cerutti F, Giacomin M, Vallati M (2014) ArgSemSAT: solving argumentation problems using SAT. In: Parsons S, Oren N, Reed C, Cerutti F (eds) Computational models of argument—proceedings of COMMA 2014, Atholl Palace Hotel, Scottish Highlands, UK, September 9–12, 2014, volume 266 of frontiers in artificial intelligence and applications. IOS Press, pp 455–456

  • Cerutti F, Vallati M, Giacomin M (2016) jArgSemSAT: an efficient off-the-shelf solver for abstract argumentation frameworks. In: Baral C, Delgrande JP, Wolter F (eds) Principles of knowledge representation and reasoning: proceedings of the fifteenth international conference, KR 2016, Cape Town, South Africa, April 25–29, 2016. AAAI Press, pp 541–544

  • Corte Suprema de Justicia de la Nación (CSJN) (1999) Fayt, Carlos Santiago c/Estado Nacional s/proceso de conocimiento. F100XXXV T. 322, P. Id SAIJ: FA99000204

  • Corte Suprema de Justicia de la Nación (CSJN) (2017) Schiffrin, Leopoldo Hótor c/Poder Ejecutivo Nacional s/accién meramente declarativa. Causa No. 159/2012(48-S)/CS1

  • Coste-Marquis S, Konieczny S, Mailly J, Marquis P (2014a) A translation-based approach for revision of argumentation frameworks. In: Proceedings of JELIA 2014, Madeira, Portugal, 2014, volume 8761 of LNCS. Springer, pp 397–411

  • Coste-Marquis S, Konieczny S, Mailly J, Marquis P (2014b) On the revision of argumentation systems: minimal change of arguments statuses. In: KR 2014, Vienna, Austria, 2014. AAAI Press

  • Coste-Marquis S, Konieczny S, Mailly J, Marquis P (2015) Extension enforcement in abstract argumentation as an optimization problem. In: Yang Q, Wooldridge MJ (eds) Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25–31, 2015. AAAI Press, pp 2876–2882

  • Diller M, Haret A, Linsbichler T, Rümmele S, Woltran S (2015) An extension-based approach to belief revision in abstract argumentation. In: Yang Q, Wooldridge MJ (eds) Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25–31, 2015. AAAI Press, pp 2926–2932

  • Dung PM (1995) On the acceptability of arguments and its fundamental role in nonmonotonic reasoning and logic programming and $n$-person games. Artif Intell 77:321–357

    Article  MathSciNet  Google Scholar 

  • Dunne PE (2009) The computational complexity of ideal semantics. Artif Intell 173(18):1559–1591

    Article  MathSciNet  Google Scholar 

  • Dunne PE, Bench-Capon TJM (2002) Coherence in finite argument systems. Artif Intell 141(1/2):187–203

    Article  MathSciNet  Google Scholar 

  • Dvorák W, Dunne PE (2017) Computational problems in formal argumentation and their complexity. FLAP 4(8):631–687

    Google Scholar 

  • Dworkin R (1986) Law’s empire. Belknap Press of Harvard University Press, Cambridge

    Google Scholar 

  • Farley AM, Freeman K (1995) Burden of proof in legal argumentation. In: McCarty LT (ed) Proceedings of the fifth international conference on artificial intelligence and law, ICAIL’95, College Park, Maryland, USA, May 21–24, 1995. ACM, pp 156–164

  • Gärdenfors P (1988) Knowledge in flux: modelling the dynamics of epistemic states. The MIT Press, Bradford Books, Cambridge

    MATH  Google Scholar 

  • Gordon TF, Walton D (2006) The carneades argumentation framework—using presumptions and exceptions to model critical questions. In: Dunne PE, Bench-Capon TJM (eds) Computational models of argument: proceedings of COMMA 2006, September 11–12, 2006, Liverpool, UK, volume 144 of frontiers in artificial intelligence and applications. IOS Press, pp 195–207

  • Gordon TF, Walton D (2009) Proof burdens and standards. In: Simari GR, Rahwan I (eds) Argumentation in artificial intelligence. Springer, Berlin, pp 239–258

    Chapter  Google Scholar 

  • Gorogiannis N, Hunter A (2011) Instantiating abstract argumentation with classical logic arguments: postulates and properties. Artif Intell 175(9–10):1479–1497

    Article  MathSciNet  Google Scholar 

  • Governatori G, Rotolo A, Olivieri F, Scannapieco S (2013) Legal contractions: a logical analysis. In: Francesconi E, Verheij B (eds) International conference on artificial intelligence and law, ICAIL’13, Rome, Italy, June 10–14, 2013. ACM, pp 63–72

  • Guastini R (2003) Estudios sobre la Interpretación Jurídica. S.A. Editorial Porrua, México DF, México

  • Hage J (1997) Reasoning with rules: an essay on legal reasoning and its underlying logic. Kluwer, Dordrecht

    Book  Google Scholar 

  • Hansson SO (1999) A textbook of belief dynamics. Theory change and database updating. Kluwer, Dordrecht

    Book  Google Scholar 

  • Kröll M, Pichler R, Woltran S (2017) On the complexity of enumerating the extensions of abstract argumentation frameworks. In: Sierra C (ed) Proceedings of the twenty-sixth international joint conference on artificial intelligence, IJCAI 2017, Melbourne, Australia, August 19–25, 2017. ijcai.org, pp 1145–1152

  • Levi I (1977) Subjunctives, dispositions and chances. Synthese 34(4):423–455

    Article  Google Scholar 

  • Macagno F, Sartor G, Walton D (2012) Argumentation schemes for statutory interpretation. In: Proceedings of ARGUMENTATION 2012. Masaryk University

  • MacCormick D, Summers R (eds) (1991) Interpreting statutes: a comparative study. Ashgate, Farnham

    Google Scholar 

  • Malerba A, Rotolo A, Governatori G (2016) Interpretation across legal systems. In: Legal knowledge and information systems—JURIX 2016: the twenty-ninth annual conference, pp 83–92

  • Moguillansky MO (2016) A study of argument acceptability dynamics through core and remainder sets. In: Gyssens M, Simari GR (eds) Foundations of information and knowledge systems—9th international symposium, FoIKS 2016, Linz, Austria, March 7–11, 2016. Proceedings, volume 9616 of lecture notes in computer science. Springer, pp 3–23

  • Moguillansky MO, Simari GR (2016) A generalized abstract argumentation framework for inconsistency-tolerant ontology reasoning. Expert Syst Appl 64:141–168

    Article  Google Scholar 

  • Moguillansky MO, Simari GR (2017) Dynamics of the judicial process by defeater activation. In: Pagallo U, Palmirani M, Casanovas P, Sartor G, Villata S (eds) AI approaches to the complexity of legal systems—AICOL international workshops 2015–2017: AICOL-VI@JURIX 2015, AICOL-VII@EKAW 2016, AICOL-VIII@JURIX 2016, AICOL-IX@ICAIL 2017, and AICOL-X@JURIX 2017, revised selected papers, volume 10791 of lecture notes in computer science. Springer, pp 495–512

  • Moguillansky MO, Rotstein ND, Falappa MA, García AJ, Simari GR (2008) Argument theory change applied to defeasible logic programming. In: Fox D, Gomes CP (eds) AAAI. AAAI Press, Palo Alto, pp 132–137

    Google Scholar 

  • Moguillansky MO, Rotstein ND, Falappa MA, García AJ, Simari GR (2010) Argument theory change through defeater activation. In: Baroni P, Cerutti F, Giacomin M, Simari GR (eds) Computational models of argument: proceedings of COMMA 2010, Desenzano del Garda, Italy, September 8–10, 2010, volume 216 of frontiers in artificial intelligence and applications. IOS Press, pp 359–366

  • Moguillansky MO, Wassermann R, Falappa MA (2012) Inconsistent-tolerant base revision through argument theory change. Log J IGPL 20(1):154–186

    Article  MathSciNet  Google Scholar 

  • Moguillansky MO, Rotolo A, Simari GR (2019) Hypotheses and their dynamics in legal argumentation. Expert Syst Appl 129:37–55

    Article  Google Scholar 

  • Prakken H, Sartor G (2013). Formalising arguments about norms. In: Proceedings of JURIX 2013. IOS Press

  • Prakken H, Sartor G (2015) Law and logic: a review from an argumentation perspective. Artif Intell 227:214–245

    Article  MathSciNet  Google Scholar 

  • Rotolo A, Governatori G, Sartor G (2015) Deontic defeasible reasoning in legal interpretation: two options for modelling interpretive arguments. In: Proceedings of the 15th international conference on artificial intelligence and law, ICAIL 2015, San Diego, CA, USA, June 8–12, 2015, pp 99–108

  • Rotstein ND, Moguillansky MO, Falappa MA, García AJ, Simari GR (2008) Argument theory change: revision upon warrant. In: Proceedings of COMMA, pp 336–347

  • Skalak D, Rissland E (1992) Arguments and cases: an inevitable intertwining. Artif Intell Law 1:3–44

    Article  Google Scholar 

  • Tamargo LH, Martinez DC, Rotolo A, Governatori G (2017) Temporalised belief revision in the law. In: Wyner AZ, Casini G (eds) Legal knowledge and information systems—JURIX 2017: the thirtieth annual conference, Luxembourg, 13–15 December 2017, volume 302 of frontiers in artificial intelligence and applications. IOS Press, pp 49–58

  • Tamargo LH, Martinez DC, Rotolo A, Governatori G (2019) An axiomatic characterization of temporalised belief revision in the law. Artif Intell Law 27(4):347–367

    Article  Google Scholar 

  • Tarello G (1980) L’interpretazione della legge. Milano, Dott. A. Giuffrè Editore

  • Vreeswijk G, Prakken H (2000) Credulous and sceptical argument games for preferred semantics. In: Ojeda-Aciego M, de Guzmán IP, Brewka G, Pereira LM (eds) Logics in artificial intelligence, European workshop, JELIA 2000 Malaga, Spain, September 29–October 2, 2000, proceedings, volume 1919 of lecture notes in computer science. Springer, pp 239–253

  • Walton D, Sartor G, Macagno F (2016) An argumentation framework for contested cases of statutory interpretation. Artif Intell Law 24(1):51–91

    Article  Google Scholar 

Download references

Acknowledgements

A preliminary version of this work was published in the proceedings of FOiKS 2016 (Moguillansky 2016) we would like to thank the anonymous reviewers and conference audience for their insightful comments. This work was partially supported by UNS (PGI 24/N051, PGI 24/ZN32) and CONICET (PIP 11220170100871CO) and EU H2020 research and innovation programme under the Marie Sklodowska-Curie grant Agreement No. 690974 for the project MIREL: MIning and REasoning with Legal texts.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martín O. Moguillansky.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moguillansky, M.O., Tamargo, L.H. On argument acceptability change towards legal interpretation dynamics. Artif Intell Law 29, 311–350 (2021). https://doi.org/10.1007/s10506-020-09277-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10506-020-09277-x

Keywords

Navigation