Task Management in Advanced Computational Intelligence System

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 t...

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Bibliographic Details
Published inArtificial Intelligence and Soft Computing pp. 331 - 338
Main Authors Grąbczewski, Krzysztof, Jankowski, Norbert
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
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Summary: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.
ISBN:3642132073
9783642132070
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-13208-7_42