|Título||Coherence-Driven Argumentation to Norm Consensus|
|Publication Type||Conference Paper|
|Year of Publication||2009|
|Authors||Joseph S, Prakken H|
|Conference Name||ICAIL-09 Twelfth International Conference on ARTIFICIAL INTELLIGENCE and LAW|
|Palabras clave||Argumentation, deductive coherence, norm deliberation, normative agents|
In this paper coherence-based models are proposed as an alternative to logic-based BDI and argumentation models for the reasoning of normative agents. A model is provided for how two coherence-based agents can deliberate on how to regulate a domain of interest. First a deductive coherence model presented, in which the coherence values are derived from the deduction relation of an underlying logic; this makes it possible to identify the reasons for why a proposition is accepted or rejected. Then it is shown how coherence-driven agents can generate candidate norms for deliberation, after which a dialogue protocol for such deliberations is proposed. The resulting model is compared to current logic-based argumentation systems for deliberation over action.
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