Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach
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| Natura: | Artículo científico |
| Lingua: | en |
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Instituto Politécnico Nacional
2013
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| _version_ | 1876449414987382784 |
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| author | Juan Carlos Nieves |
| author_facet | Juan Carlos Nieves |
| contents | Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach Juan Carlos Nieves Helena Lindgren Computación Knowledge representation deductive knowledge bases abductive knowledge bases The consideration of heterogenous knowledgesources for supporting decision making is key to accomplishinformed decisions, e.g., about medical diagnosis. Consequently,merging different data from different knowledge bases isa key issue for providing support for decision-making. Inthis paper, we explore an argumentation context approach,which follows how medical professionals typically reason, inorder to merge two basic kinds of reasoning approachesbased on logic programs: deductive and abductive inferences.In this setting, we introduce two kinds of argumentationframeworks: deductive argumentation frameworks and abductiveargumentation frameworks. For merging these argumentationframeworks, we follow an approach based on argumentationcontext systems. We illustrate the approach by considering twodifferent declarative specifications of evidence-based medicalknowledge into logic programs in order to support informedmedical decisions. 2013 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640462006 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.48 |
| format | Artículo científico |
| id | redalyc_402640462006 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach Juan Carlos Nieves Computación Knowledge representation deductive knowledge bases abductive knowledge bases Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach Juan Carlos Nieves Helena Lindgren Computación Knowledge representation deductive knowledge bases abductive knowledge bases The consideration of heterogenous knowledgesources for supporting decision making is key to accomplishinformed decisions, e.g., about medical diagnosis. Consequently,merging different data from different knowledge bases isa key issue for providing support for decision-making. Inthis paper, we explore an argumentation context approach,which follows how medical professionals typically reason, inorder to merge two basic kinds of reasoning approachesbased on logic programs: deductive and abductive inferences.In this setting, we introduce two kinds of argumentationframeworks: deductive argumentation frameworks and abductiveargumentation frameworks. For merging these argumentationframeworks, we follow an approach based on argumentationcontext systems. We illustrate the approach by considering twodifferent declarative specifications of evidence-based medicalknowledge into logic programs in order to support informedmedical decisions. 2013 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640462006 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.48 |
| title | Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach |
| topic | Computación Knowledge representation deductive knowledge bases abductive knowledge bases |
| url | https://www.redalyc.org/articulo.oa?id=402640462006 |