Multi Agent Based Simulation: Beyond Social Simulation
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
Temporalised normative positions in defeasible logic
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Strategic argumentation: a game theoretical investigation
Proceedings of the 11th international conference on Artificial intelligence and law
Success chances in argument games: a probabilistic approach to legal disputes
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
Heuristics in Argumentation: A Game-Theoretical Investigation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Towards (Probabilistic) Argumentation for Jury-based Dispute Resolution
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Norm internalization in artificial societies
AI Communications - European Workshop on Multi-Agent Systems (EUMAS) 2009
Multiagent and Grid Systems
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This paper proposes a new simulation approach for investigating phenomena such as norm emergence and internalization in large groups of learning agents. We define a probabilistic defeasible logic instantiating Dung's argumentation framework. Rules of this logic are attached to probabilities and describe the agents' minds and behaviour. We thus adopt the paradigm of reinforcement learning over this probability distribution to allow agents to adapt to their environment.