Name
Abstract | ||
|---|---|---|
This paper addresses the developing of Learning-Assisted Intelligent Scheduling Systems that uses active learning by accumulation and interpretation of scheduling experience or even by observation of expert's decisions. The design of intelligent systems (IS) that learn with experts is a very hard and challenging domain because current systems are becoming more and more complex and subject to rapid changes. The model for the proposed system will be presented. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SMC.2013.481 | Systems, Man, and Cybernetics |
Keywords | Field | DocType |
rapid change,challenging domain,current system,active learning,proposed system,intelligent system,learning-assisted intelligent scheduling systems,decision support systems,human computer interaction,scheduling,learning artificial intelligence | Marketing and artificial intelligence,Active learning,Intelligent decision support system,Computer science,Scheduling (computing),Decision support system,Scheduling (production processes),Two-level scheduling,Artificial intelligence,Machine learning,Automated planning and scheduling | Conference |
ISSN | Citations | PageRank |
1062-922X | 1 | 0.38 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana Madureira | 1 | 26 | 9.67 |
| João Paulo Pereira | 2 | 29 | 7.44 |
| Ivo Pereira | 3 | 12 | 5.10 |