An Approach to Argumentative Reasoning Servers with Multiple Preference Criteria

JUAN C. L. TEZE; SEBASTIÁN GOTTIFREDI; ALEJANDRO JAVIER GARCIA; GUILLERMO R. SIMARI

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE

Asociación Española de Inteligencia Artificial

Año: 2014 vol. 17 p. 68 - 78

1137-3601

Argumentation is an attractive reasoning mechanism due to its dialectical and non monotonic nature, and its properties of computational tractability. In dynamic domains where the agents deal with incomplete and contradictory information, to determine the accepted or warranted information, an argument comparison criterion must be used. Argumentation systems that use a single argument comparison criterion have been widely studied in the literature. In some of these approaches, the comparison is fixed and in others the criterion can be replacedin a modular way. In this work we introduce an argumentative server that provides recommendations to its client agents and the ability to decide how multiple argument comparison criteria can be combined.