This paper describes a default-logic framework (plausibility schemas) and software tools (Decision ApprenticeTM and Legal ApprenticeTM ) for modeling, guiding and automating the r...
The development of graphical argument models is an active and growing area of research in Artificial Intelligence and Law. The aim is to develop models which may be readily used ...
Collin Lynch, Kevin D. Ashley, Niels Pinkwart, Vin...
Argumentation annotation is a crucial step in applying machine learning techniques to the argumentation field. However, there exist few argumentation corpora and their developmen...
Current argumentation support software often employs graphical representations of logical relationships. Little is known about the extent to which logical structuring helps to inc...
In this paper coherence-based models are proposed as an alternative to logic-based BDI and argumentation models for the reasoning of normative agents. A model is provided for how t...