Hierarchical Precedential Constraint

Author:

van Woerkom Wijnand1ORCID,Grossi Davide2ORCID,Prakken Henry3ORCID,Verheij Bart4ORCID

Affiliation:

1. Utrecht University, Department of Information and Computing Sciences, Utrecht, The Netherlands

2. University of Groningen, Bernoulli Institute for Math, CS and AI, Groningen, The Netherlands, University of Amsterdam, Amsterdam Center for Law and Economics, Institute for Logic, Language and Computation, Amsterdam, The Netherlands

3. Utrecht University, Department of Information and Computing Sciences, Utrecht, The Netherlands University of Groningen, Groningen, The Netherlands

4. University of Groningen, Bernoulli Institute for Math, CS and AI, Groningen, The Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

ACM

Reference19 articles.

1. Vincent Aleven and Kevin D. Ashley . 1997. Evaluating a learning environment for case-based argumentation skills . In Proceedings of the 6th International Conference on Artificial Intelligence and Law, 170--179 . Vincent Aleven and Kevin D. Ashley. 1997. Evaluating a learning environment for case-based argumentation skills. In Proceedings of the 6th International Conference on Artificial Intelligence and Law, 170--179.

2. Reasoning with cases and hypotheticals in HYPO

3. Precedential Constraint Derived from Inconsistent Case Bases

4. Oana Cocarascu , Andria Stylianou , Kristijonas Čyras , and Francesca Toni . 2020. Data-empowered argumentation for dialectically explainable predictions . In Proceedings of the 24th European Conference on Artificial Intelligence. Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, (Eds . ) IOS Press , 2449--2456. Oana Cocarascu, Andria Stylianou, Kristijonas Čyras, and Francesca Toni. 2020. Data-empowered argumentation for dialectically explainable predictions. In Proceedings of the 24th European Conference on Artificial Intelligence. Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, (Eds.) IOS Press, 2449--2456.

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