Abstract | ||
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Explanation of reasoning in expert systems is necessary for debugging the knowledge base, for facilitating their acceptance by human users, and for using them as tutoring systems. In∞uence diagrams have proved to be efiective tools for building decision-support systems, but explanation of their reasoning is di-cult, because inference in probabilistic graphical models seems to have little relation with human thinking. The current paper describes some explanation capabilities for in∞uence diagrams and how they have been implemented in Elvira, a public software tool. |
Year | Venue | Keywords |
---|---|---|
2006 | Probabilistic Graphical Models | expert system,decision analysis,influence diagram,knowledge base,decision support system |
Field | DocType | Citations |
Decision tree,Intelligent decision support system,Computer science,Knowledge management,Artificial intelligence,Knowledge base,Software engineering,Inference,Expert system,Influence diagram,Evidential reasoning approach,Decision engineering,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. Luque | 1 | 0 | 0.34 |
Francisco Javier Díez | 2 | 150 | 18.73 |