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Full-Text Articles in Physical Sciences and Mathematics
Automating Defeasible Reasoning In Law With Answer Set Programming, How Khang Lim, Avishkar Mahajar, Martin Strecker, Meng Weng Wong
Automating Defeasible Reasoning In Law With Answer Set Programming, How Khang Lim, Avishkar Mahajar, Martin Strecker, Meng Weng Wong
Centre for Computational Law
The paper studies defeasible reasoning in rule-based systems, in particular about legal norms and contracts. We identify rule modifiers that specify how rules interact and how they can be overridden. We then define rule transformations that eliminate these modifiers, leading in the end to a translation of rules to formulas. For reasoning with and about rules, we contrast two approaches, one in a classical logic with SMT solvers, which is only briefly sketched, and one using non-monotonic logic with Answer Set Programming solvers, described in more detail.
Towards Cnl-Based Verbalization Of Computational Contracts, Inari Listenmaa, Maryam Hanafiah, Regina Cheong, Andreas Kallberg
Towards Cnl-Based Verbalization Of Computational Contracts, Inari Listenmaa, Maryam Hanafiah, Regina Cheong, Andreas Kallberg
Centre for Computational Law
We present a CNL, which is a component of L4, a domain-specific programming language for drafting laws and contracts. Along with formal verification, L4’s core functionalities include natural language generation. We present the NLG pipeline and an interactive process for ambiguity resolution.
Constraint Answer Set Programming As A Tool To Improve Legislative Drafting, Jason Morris
Constraint Answer Set Programming As A Tool To Improve Legislative Drafting, Jason Morris
Centre for Computational Law
Rules as Code" in this paper is used to refer to a proposed methodology of legislative and regulatory drafting.1 That legislation can be represented in declarative code for automation has long been recognized [6], as has the opportunity for improving the quality of legal drafting with the techniques of formal representation [1].