Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
An abstract, argumentation-theoretic approach to default reasoning
Artificial Intelligence
Sound and Complete Forward and backward Chainingd of Graph Rules
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Handbook of Knowledge Representation
Handbook of Knowledge Representation
Default Conceptual Graph Rules: Preliminary Results for an Agronomy Application
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
A taxonomy of argumentation models used for knowledge representation
Artificial Intelligence Review
Default conceptual graph rules, atomic negation and Tic-Tac-Toe
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
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Argumentation is a reasoning model based on arguments and on attacks between arguments. It consists in evaluating the acceptability of arguments, according to a given semantics. Due to its generality, Dung's framework for abstract argumentation systems, proposed in 1995, is a reference in the domain. Argumentation systems are commonly represented by graph structures, where nodes and edges respectively represent arguments and attacks between arguments. However beyond this graphical support, graph operations have not been considered as reasoning tools in argumentation systems. This paper proposes a conceptual graph representation of an argumentation system and a computation of argument acceptability relying on conceptual graph default rules.