Automated legal reasoning with discretion to act using s(LAW)
Author:
Funder
Ministerio de Ciencia e Innovación
Publisher
Springer Science and Business Media LLC
Subject
Law,Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10506-023-09376-5.pdf
Reference49 articles.
1. Aravanis TI, Demiris K, Peppas P (2018) Legal Reasoning in Answer Set Programming. In: IEEE 30th International conference on tools with artificial intelligence, ICTAI 2018. IEEE, pp 302–306, https://doi.org/10.1109/ICTAI.2018.00055
2. Arias J, Carro M, Salazar E et al (2018) Constraint answer set programming without grounding. Theory Pract Logic Program 18(3–4):337–354. https://doi.org/10.1017/S1471068418000285
3. Arias J, Carro M, Chen Z, et al (2020) Justifications for goal-directed constraint answer set programming. In: Proceedings 36th international conference on logic programming (technical communications), EPTCS, vol 325. Open Publishing Association, pp 59–72, https://doi.org/10.4204/EPTCS.325.12
4. Arias J, Moreno-Rebato M, Rodriguez-García JA, et al (2021) Modeling administrative discretion using goal-directed answer set programming. In: Advances in artificial intelligence, CAEPIA 20/21. Springer International Publishing, Cham, pp 258–267, https://doi.org/10.1007/978-3-030-85713-4_25
5. Bench-Capon T (2012) Open texture and argumentation: what makes an argument persuasive? In: Logic Programs, Norms and action: essays in Honor of Marek J. Sergot on the Occasion of His 60th Birthday. Springer, pp 220–233, https://doi.org/10.1007/978-3-642-29414-3_12
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