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Argument Structure Models and Visualization

Argument Structure Models and Visualization

Ephraim Nissan
Copyright: © 2009 |Pages: 8
ISBN13: 9781605660141|ISBN10: 1605660140|EISBN13: 9781605660158
DOI: 10.4018/978-1-60566-014-1.ch011
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MLA

Nissan, Ephraim. "Argument Structure Models and Visualization." Encyclopedia of Multimedia Technology and Networking, Second Edition, edited by Margherita Pagani, IGI Global, 2009, pp. 75-82. https://doi.org/10.4018/978-1-60566-014-1.ch011

APA

Nissan, E. (2009). Argument Structure Models and Visualization. In M. Pagani (Ed.), Encyclopedia of Multimedia Technology and Networking, Second Edition (pp. 75-82). IGI Global. https://doi.org/10.4018/978-1-60566-014-1.ch011

Chicago

Nissan, Ephraim. "Argument Structure Models and Visualization." In Encyclopedia of Multimedia Technology and Networking, Second Edition, edited by Margherita Pagani, 75-82. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-014-1.ch011

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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.

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