Or background knowledge, or empirical generalizations: common sense heuristic rules, which apply to a given instance a belief, held concerning a pattern, and are resorted to when, interpreting the evidence and reconstructing a legal narrative for argumentation in court.
Published in Chapter:
Argument Structure Models and Visualization
Ephraim Nissan (Goldsmith’s College of the University of London, UK)
Copyright: © 2009
|Pages: 8
DOI: 10.4018/978-1-60566-014-1.ch011
Abstract
In order to visualize argumentation, there exist tools from multimedia. The most advanced sides of computational modeling of arguments belong in models and tools upstream of visualization tools: the latter are an interface. Computer models of argumentation come in three categories: logic-based (highly theoretical), probablistic, and pragmatic ad hoc treatments. Theoretical formalisms of argumentation were developed by logicists within artificial intelligence (and were implemented and often can be reused outside the original applications), or then the formalisms are rooted in philosophers’ work. We cite some such work, but focus on tools that support argumentation visually. Argumentation turns out in a wide spectrum of everyday life situations, including professional ones. Computational models of argumentation have found application in tutoring systems, tools for marshalling legal evidence, and models of multiagent communication. Intelligent systems and other computer tools potentially stand to benefit as well. Multimedia are applied to argumentation (in visualization tools), and also are a promising field of application (in tutoring systems). The design of networks could potentially benefit, if communication is modeled using multiagent technology.