Abstract | ||
---|---|---|
This paper presents the specification of an architecture for self-organizing scheduling systems. The proposed architecture uses learning by observing the experts and interpretation of scheduling experience. The design of intelligent systems 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. In this work, different areas as Intelligent and Adaptive Human-Machine Interfaces, Metacognition and Learning from Observation, Self-managed Systems, amongst others, are joint together resulting in a global fully integrated architecture for self-organizing scheduling systems. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1007/978-3-319-53480-0_76 | INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016) |
Keywords | Field | DocType |
Scheduling,Self-organizing scheduling systems,Learning from observation,User modeling | Data architecture,Space-based architecture,Computer science,Systems design,Two-level scheduling,Artificial intelligence,Enterprise architecture framework,Computer architecture,Applications architecture,Fair-share scheduling,Software engineering,Reference architecture,Machine learning | Conference |
Volume | ISSN | Citations |
557 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ana Madureira | 1 | 26 | 9.67 |
Ivo Pereira | 2 | 12 | 5.10 |
Bruno Cunha | 3 | 1 | 1.70 |