Value-based Argumentation Frameworks as Neural-symbolic Learning Systems
نویسندگان
چکیده
منابع مشابه
Value-based Argumentation Frameworks as Neural-symbolic Learning Systems
While neural networks have been successfully used in a number of machine learning applications, logical languages have been the standard for the representation of argumentative reasoning. In this paper, we establish a relationship between neural networks and argumentation networks, combining reasoning and learning in the same argumentation framework. We do so by presenting a new neural argument...
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In this paper I introduce the notion of Value-Based Argumentation Frameworks (VAF). I start from a standard notion of argumentation frameworks which has been widely used to analyse logics for defeasible argument, and extend it so as to make defeat dependent on the relative importance of the values the arguments advance or protect. The idea is to re-introduce an element which has been abstracted...
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Hierarchical argumentation frameworks organise Dung argumentation frameworks into a hierarchy so that argumentation over preference information in a level n Dung framework is used to resolve conflicts between arguments in a level n1 framework. In this paper we formalise and extend value based argumentation [1] in a hierarchical argumentation framework and illustrate application of the resulting...
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In many cases of disagreement, particularly in situations involving practical reasoning, it is impossible to demonstrate conclusively that either party is wrong. The role of argument in such cases is to persuade rather than to prove, demonstrate or refute. Following Perelman, we argue that persuasion in such cases relies on a recognition that the strength of an argument depends on the social va...
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ژورنال
عنوان ژورنال: Journal of Logic and Computation
سال: 2005
ISSN: 1465-363X,0955-792X
DOI: 10.1093/logcom/exi057