Formalizing dialectical explanation support for argument-based reasoning in knowledge-based systems

被引:44
作者
Garcia, Alejandro J. [1 ]
Chesnevar, Carlos I. [1 ]
Rotstein, Nicolas D. [1 ]
Simari, Guillermo R. [1 ]
机构
[1] Univ Nacl Sur, Dept Comp Sci & Engn, Artificial Intelligence Res & Dev Lab, RA-8000 Bahia Blanca, Buenos Aires, Argentina
关键词
Knowledge-based systems; Explanation support; Abstract argumentation; Structured argumentation; Defeasible Logic Programming; EXPERT-SYSTEMS; LOGIC; AGENTS; SEMANTICS; MODELS;
D O I
10.1016/j.eswa.2012.12.036
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of explanation has received attention from different 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 different 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 Artificial 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 different emerging properties are studied and analyzed. As a concrete example of the formalism introduced we show how it can be fleshed out in an implemented rule-based argumentation system. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3233 / 3247
页数:15
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