Toward assessing law students' argument diagrams

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. Keywords Argument models, argument diagrams, intelligent tutoring systems, hypothetical legal reasoning

• Type: Conference
• Year: 2009
• Where: ICAIL
• Authors: Collin Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
• Keywords: Argument Models, Artificial Intelligence, Graphical Argument Models, ICAIL 2009, Keywords Argument Models