INVESTIGADORES
CHESÑEVAR Carlos Ivan
artículos
Título:
Formalizing Dialectical Explanation Support for Argument-Based Reasoning in Knowledge-Based Systems
Autor/es:
ALEJANDRO GARCÍA; CARLOS IVÁN CHESÑEVAR; NICOLÁS ROTSTEIN; GUILLERMO SIMARI
Revista:
EXPERT SYSTEMS WITH APPLICATIONS
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2013 vol. 40 p. 3233 - 3247
ISSN:
0957-4174
Resumen:
The concept of explanation has received attention from di erent areas in Computer Science, particularly in the Knowledge-Based Systems and Expert Systems communities. At the same time, argumentation has evolved as a new paradigm for conceptualizing commonsense reasoning, resulting in the formalization of di erent argumentation frameworks and the development of several real-world argument-based applications. Although the notions of explanation and argument for a claim share many common elements in knowledge-based systems their interrelationships have not yet been formally studied in the context of the current argumentation research in Articial Intelligence. This article explores these ideas by providing a new perspective on how to formalize dialectical explanation support for argument-based reasoning. To do this, we propose a formalization of explanations for abstract argumentation frameworks with dialectical constraints where di erent emerging properties are studied and analyzed. As a concrete example of the formalism introduced we show how it can be eshed out in an implemented rule-based argumentation system.