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.
CITATION STYLE
Madureira, A., Pereira, I., & Cunha, B. (2017). Specification of an architecture for self-organizing scheduling systems. In Advances in Intelligent Systems and Computing (Vol. 557, pp. 771–780). Springer Verlag. https://doi.org/10.1007/978-3-319-53480-0_76
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