ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Representing teleological structure in case-based legal reasoning: the missing link
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Modeling Legal Argument Reasoning With Cases and Hypotheticals
Modeling Legal Argument Reasoning With Cases and Hypotheticals
A model of legal reasoning with cases incorporating theories and values
Artificial Intelligence - Special issue on AI and law
Artificial Intelligence - Special issue on AI and law
Towards a computational account of persuasion in law
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Try to see it my way: modelling persuasion in legal discourse
Artificial Intelligence and Law
Formalising argumentative story-based analysis of evidence
Proceedings of the 11th international conference on Artificial intelligence and law
Argumentation and standards of proof
Proceedings of the 11th international conference on Artificial intelligence and law
Ontological requirements for analogical, teleological, and hypothetical legal reasoning
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Using argument schemes for hypothetical reasoning in law
Artificial Intelligence and Law
Argumentation with Value JudgmentsAn Example of Hypothetical Reasoning
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
Similarity, precedent and argument from analogy
Artificial Intelligence and Law
Analyzing open source license compatibility issues with Carneades
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Semantic models for policy deliberation
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Facilitating case comparison using value judgments and intermediate legal concepts
Proceedings of the 13th International Conference on Artificial Intelligence and Law
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This paper expands on the previously published value judgment formalism. The representation of situations is enhanced by introducing event progressions similar to actions in general AI planning. Using event progressions, situations can be assessed as to what facts they contain as well as what facts may ensue with some likelihood, thereby opening up a situation space. Purposive legal argumentation can be modeled using propositions and rules controlling the likelihoods of value-laden consequences. The paper expands the formalism to cover event progressions and illustrates the functionality using an example based on Young v. Hitchens.