Name
Abstract | ||
|---|---|---|
In this paper, we propose a multi-agent recommender system based on the Belief-Desire-Intention (BDI) model applied to multi-context systems. First, we extend the BDI model with additional contexts to deal with sociality and information uncertainty. Second, we propose an ontological representation of planning and intention contexts in order to reason about plans and intentions. Moreover, we show a simple real-world scenario in healthcare in order to illustrate the overall reasoning process of our model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5220/0005686500310041 | ICAART |
Field | DocType | Citations |
Recommender system,Ontology,Data mining,Computer science,Sociality,Possibility theory,Multi-agent system,Artificial intelligence | Conference | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amel Ben Othmane | 1 | 4 | 3.09 |
| Andrea Tettamanzi | 2 | 1 | 1.72 |
| serena villata | 3 | 558 | 70.95 |
| Nhan Le Thanh | 4 | 28 | 14.98 |
| Michel Buffa | 5 | 215 | 19.48 |