Abstract
Computational intelligence (CI) comes up with more and more sophisticated, hierarchical learning machines. Running advanced techniques, including meta-learning, requires general data mining systems, capable of efficient management of very complex machines. Requirements for running complex learning tasks, within such systems, are significantly different than those of running processes by operating systems. We address major requirements that should be met by CI systems and present corresponding solutions tested and implemented in our system. The main focus are the aspects of task spooling and multitasking.
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Grąbczewski, K., Jankowski, N. (2010). Task Management in Advanced Computational Intelligence System. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_42
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DOI: https://doi.org/10.1007/978-3-642-13208-7_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13207-0
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