A Matrix Approach for Weighted Argumentation Frameworks: a Preliminary Report
February 23, 2018 Β· Declared Dead Β· π The Florida AI Research Society
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Authors
Stefano Bistarelli, Alessandra Tappini, Carlo Taticchi
arXiv ID
1802.08445
Category
cs.AI: Artificial Intelligence
Citations
0
Venue
The Florida AI Research Society
Last Checked
4 months ago
Abstract
The assignment of weights to attacks in a classical Argumentation Framework allows to compute semantics by taking into account the different importance of each argument. We represent a Weighted Argumentation Framework by a non-binary matrix, and we characterize the basic extensions (such as w-admissible, w- stable, w-complete) by analysing sub-blocks of this matrix. Also, we show how to reduce the matrix into another one of smaller size, that is equivalent to the original one for the determination of extensions. Furthermore, we provide two algorithms that allow to build incrementally w-grounded and w-preferred extensions starting from a w-admissible extension.
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