Name
Abstract | ||
|---|---|---|
Multi-Context Systems (MCSs) are able to formally model, in Computational Logic, distributed systems composed of heterogeneous sources, or “contexts”, interacting via special rules called “bridge rules”. In this paper, we consider how to enhance flexibility and generality in bridge-rules definition and use. In particular, we introduce and discuss some formal extensions of MCSs aimed to their practical application in dynamic environments, and we provide guidelines for implementations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10472-019-09622-0 | Annals of Mathematics and Artificial Intelligence |
Keywords | Field | DocType |
Automated reasoning, Multi-context systems, Heterogeneous distributed systems, 68T42, 68T30, 68T35, 68T27 | Computational logic,Automated reasoning,Implementation,Theoretical computer science,Artificial intelligence,Machine learning,Mathematics,Generality | Journal |
Volume | Issue | ISSN |
86 | 1 | 1012-2443 |
Citations | PageRank | References |
0 | 0.34 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Cabalar | 1 | 377 | 43.92 |
| Stefania Costantini | 2 | 536 | 59.90 |
| Giovanni De Gasperis | 3 | 51 | 16.17 |
| Andrea Formisano | 4 | 301 | 32.94 |