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Approximating problems in abstract argumentation with graph convolutional networks
Artificial Intelligence 336 (C):104209 (2024)
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Citations of this work
ATWGNNS: Graph simplified representation and learning of logical formula for premise selection.Xingxing He, Zhongxu Zhao, Yongqi Lan, Yingfang Li, Li Zou, Luis Martínez & Tianrui Li - 2026 - Artificial Intelligence 357 (C):104562.
References found in this work
On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
Computing ideal sceptical argumentation.P. M. Dung, P. Mancarella & F. Toni - 2007 - Artificial Intelligence 171 (10-15):642-674.
Law and logic: A review from an argumentation perspective.Henry Prakken & Giovanni Sartor - 2015 - Artificial Intelligence 227 (C):214-245.
Computational properties of argument systems satisfying graph-theoretic constraints.Paul E. Dunne - 2007 - Artificial Intelligence 171 (10-15):701-729.
Methods for solving reasoning problems in abstract argumentation – A survey.Günther Charwat, Wolfgang Dvořák, Sarah A. Gaggl, Johannes P. Wallner & Stefan Woltran - 2015 - Artificial Intelligence 220 (C):28-63.
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