A model of legal reasoning with cases incorporating theories and values
Artificial Intelligence - Special issue on AI and law
Dialogues about the burden of proof
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Towards an argument interchange format
The Knowledge Engineering Review
The Description Logic Handbook
The Description Logic Handbook
Laying the foundations for a World Wide Argument Web
Artificial Intelligence
Learning and joint deliberation through argumentation in multiagent systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Diagramming the Argument Interchange Format
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Argumentation-based framework for industrial wastewater discharges management
Engineering Applications of Artificial Intelligence
On a computational argumentation framework for agent societies
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Argue to agree: A case-based argumentation approach
International Journal of Approximate Reasoning
Case-based strategies for argumentation dialogues in agent societies
Information Sciences: an International Journal
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Argumentation is a powerful technique to harmonise conflicts in open multi-agent systems. However, the social context of agents determines in many situations the way in which agents can argue to reach agreements. In this paper, we advance research in the area of computational argumentation frameworks by proposing an ontological-based knowledge representation formalism for the design of open Multi-Agent Systems in which the participating software agents are able to manage and exchange arguments between themselves taking into account the agents' social context. Therefore, this formalism is represented by means of an ontology that is the core of a case-based argumentation framework for agent societies.