Abstract | ||
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We propose a new model for decision support systems. A decision support system helps a user to make a choice between alternatives to reach a goal. The cognitive map model enables a user to visualize the influences of the alternatives, and to compute the propagation of influence on the goal. Like cognitive maps, our model offers a graphical representation of influences between notions (alternatives and goals). The distinctive feature of our model is that on a unique support, each notion is precisely defined by conceptual graphs. One of the major advantages of our model is the combination of operations of cognitive maps and operations of conceptual graphs. Firstly, the definition of a notion and the projection provides a solution to compute semantically linked notions. Secondly, original propagations can be computed from such semantically linked notions. |
Year | DOI | Venue |
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2003 | 10.1007/978-3-540-45091-7_24 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
cognitive map,decision support system,influence | Graphics,Speech processing,User assistance,Cognitive map,Computer science,Conceptual graph,Decision support system,Distinctive feature,Artificial intelligence,Graphical model | Conference |
Volume | ISSN | Citations |
2746 | 0302-9743 | 2 |
PageRank | References | Authors |
0.44 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ghania Aissaoui | 1 | 2 | 0.44 |
David Genest | 2 | 87 | 15.47 |
Stéphane Loiseau | 3 | 62 | 16.72 |