Some Supplementaries to The Counting Semantics for Abstract Argumentation

September 11, 2015 Β· Declared Dead Β· πŸ› IEEE International Conference on Tools with Artificial Intelligence

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Authors Fuan Pu, Jian Luo, Guiming Luo arXiv ID 1509.03585 Category cs.AI: Artificial Intelligence Citations 7 Venue IEEE International Conference on Tools with Artificial Intelligence Last Checked 4 months ago
Abstract
Dung's abstract argumentation framework consists of a set of interacting arguments and a series of semantics for evaluating them. Those semantics partition the powerset of the set of arguments into two classes: extensions and non-extensions. In order to reason with a specific semantics, one needs to take a credulous or skeptical approach, i.e. an argument is eventually accepted, if it is accepted in one or all extensions, respectively. In our previous work \cite{ref-pu2015counting}, we have proposed a novel semantics, called \emph{counting semantics}, which allows for a more fine-grained assessment to arguments by counting the number of their respective attackers and defenders based on argument graph and argument game. In this paper, we continue our previous work by presenting some supplementaries about how to choose the damaging factor for the counting semantics, and what relationships with some existing approaches, such as Dung's classical semantics, generic gradual valuations. Lastly, an axiomatic perspective on the ranking semantics induced by our counting semantics are presented.
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