@inproceedings{e3d8c9c3b7e8404ab1d46caad007ce8b,
title = "Describing legal policies as story tropes in normative systems",
abstract = "TropICAL is a Domain Specific Language (DSL) for the description of abstract legal policies. Taking inspiration from narrative tropes, our DSL enables the creation of component {"}policies{"} that may be reused between case descriptions. These components are compiled to social institutions, which are realised in Answer Set Programming (ASP) code. In this way, the actions of defendant and plaintiff take the shape of a story which must conform to the rules in the ASP description. We propose the use of our DSL in a tool designed for lawyers to generate arguments for the argumentation process.",
keywords = "Answer set programming, Legal policies, Social institutions, Story tropes",
author = "Matthew Thompson and Julian Padget and Ken Satoh",
year = "2016",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-726-9-207",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "207--210",
editor = "Floris Bex and Serena Villata",
booktitle = "Legal Knowledge and Information Systems - JURIX 2016",
address = "Netherlands",
note = "29th International Conference on Legal Knowledge and Information Systems, JURIX 2016 ; Conference date: 14-12-2016 Through 16-12-2016",
}