Different formalisms for defeasible reasoning have been used to represent knowledge and reason in the legal field. In this work, we provide an overview of the following logic-based approaches to defeasible reasoning: defeasible logic, Answer Set Programming, ABA+, ASPIC+, and DeLP. We compare features of these approaches under three perspectives: the logical model (knowledge representation), the method (computational mechanisms), and the technology (available software resources). On top of that, two real examples in the legal domain are designed and implemented in ASPIC+ to showcase the benefit of an argumentation approach in real-world domains. The CrossJustice and Interlex projects are taken as a testbed, and experiments are conducted wit...
Classical methods for representing and reasoning with knowledge rely on the assumption that the avai...
The work reported here introduces Defeasible Logic Programming (DeLP), a formalism that combines res...
Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and...
Different formalisms for defeasible reasoning have been used to represent knowledge and reason in th...
Different formalisms for defeasible reasoning have been used to represent legal knowledge and to rea...
Defeasible reasoning is a simple but efficient rule-based approach to nonmonotonic reasoning. It has...
none1noThis chapter provides an analysis of defeasible legal reasoning as argumentation. It first pr...
none1noThis chapter provides a logical analysis of defeasible reasoning. First it introduces the not...
Defeasible logic is a simple but efficient rule-based non-monotonic logic. It has powerful implement...
The market for intelligent legal information systems remains relatively untapped and while this migh...
Defeasible logic is a simple but efficient rule-based non-monotonic logic. It has powerful implement...
Defeasible logic is an efficient non-monotonic logic that is defined only proof-theoretically. It ha...
AbstractThe present paper discusses experimental argument assistance tools. In contrast with automat...
Promising results have indicated Argumentation Theory as a solid research area for implementing defe...
The present paper discusses experimental argument assistance tools. In contrast with automated reaso...
Classical methods for representing and reasoning with knowledge rely on the assumption that the avai...
The work reported here introduces Defeasible Logic Programming (DeLP), a formalism that combines res...
Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and...
Different formalisms for defeasible reasoning have been used to represent knowledge and reason in th...
Different formalisms for defeasible reasoning have been used to represent legal knowledge and to rea...
Defeasible reasoning is a simple but efficient rule-based approach to nonmonotonic reasoning. It has...
none1noThis chapter provides an analysis of defeasible legal reasoning as argumentation. It first pr...
none1noThis chapter provides a logical analysis of defeasible reasoning. First it introduces the not...
Defeasible logic is a simple but efficient rule-based non-monotonic logic. It has powerful implement...
The market for intelligent legal information systems remains relatively untapped and while this migh...
Defeasible logic is a simple but efficient rule-based non-monotonic logic. It has powerful implement...
Defeasible logic is an efficient non-monotonic logic that is defined only proof-theoretically. It ha...
AbstractThe present paper discusses experimental argument assistance tools. In contrast with automat...
Promising results have indicated Argumentation Theory as a solid research area for implementing defe...
The present paper discusses experimental argument assistance tools. In contrast with automated reaso...
Classical methods for representing and reasoning with knowledge rely on the assumption that the avai...
The work reported here introduces Defeasible Logic Programming (DeLP), a formalism that combines res...
Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and...