Using computer supported argument visualization to teach legal argumentation
Visualizing argumentation
Dialogues about the burden of proof
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
The Carneades model of argument and burden of proof
Artificial Intelligence
'Tis Better to Construct than to Receive? The Effects of Diagram Tools on Causal Reasoning
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Evaluating Legal Argument Instruction with Graphical Representations Using LARGO
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
A Process Model of Legal Argument with Hypotheticals
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
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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 by legal professionals and novices to produce and parse arguments. If this goal is to be realized it is important to develop models that human reasoners can manipulate and assess consistently. We report on an ongoing study of graph agreement in the context of the LARGO system.