Computational Models of Natural Argument
Papers from the 2011 AAAI Workshop
Floriana Grasso, Nancy Green, Chris Reed, Workshop Cochairs
The series of workshops on computational models of natural argument, active since 2001, acts to nurture and provide succour to the ever-growing community working in “argument and computation.” AI has witnessed a prodigious growth in uses of argumentation throughout many of its subdisciplines: agent system negotiation protocols that demonstrate higher levels of sophistication and robustness; argumentation-based models of evidential relations; groupwork tools that use argument to structure interaction and debate; computer-based learning tools that exploit monological and dialogical argument structures in designing pedagogic environments; decision support systems that build upon argumentation theoretic models of deliberation to better integrate with human reasoning. This workshop focuses in particular on “natural” argumentation. Naturalness may involve the use of means that are more visual than linguistic to illustrate a point, such as graphics or multimedia, or to the use of more sophisticated rhetorical devices, interacting at various layers of abstraction; or the exploitation of “extra-rational” characteristics of the audience, taking into account emotions and affective factors.