An Approach to Argumentative Reasoning Servers with Multiple Preference Criteria

JUAN CARLOS LIONEL TEZE; SEBASTIAN GOTTIFREDI; ALEJANDRO J. GARCÍA; GUILLERMO R. SIMARI

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE

Asociación Española de Inteligencia Artificial

Lugar: España; Año: 2014 vol. 17 p. 68 - 78

1137-3601

Argumentation is a reasoning mechanism of dialectical and non-monotonic nature, with useful properties of computational tractability. In dynamic domains where agents deal with incomplete and contradictory information, an argument comparison criterion can be used to determine the accepted information; argumentation systems with a single argument comparison criterion have been widely studied. In some of these approaches the comparison criterion is fixed, while in others a criterion can be selected and replaced in a modular way. In this work, we introduce an argumentative server that provides recommendations to its client agents and the possibility of indicating under what conditions an argument comparison criterion can be chosen to answer a particular query. To achieve this, we formalize a special type of query which, by using a conditional expression, allows the server to dynamically choose a criterion. As a result, several properties of these expressions will be studied.