Abstract
Complexity advent determined the drive change from learning and adaptability to evolvability and autonomy for technologies, devices and problem solving methods.
The connection of the presented multi-level modeling methods with some promising research directions for autonomous systems is outlined. This helps in understanding where future multi-level complexity studies will be heading.
Centered, four realms general PSM frameworks, resulting by integrative closure are presented here as the general architecture shared by numerous autonomous systems.
Autonomous experimentation, multi-agents systems, multi-level informational systems, organic or autonomic computing systems, and viable systems are presented as promising domains for applications.
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Iordache, O. (2011). Autonomous Systems Perspective. In: Modeling Multi-Level Systems. Understanding Complex Systems, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17946-4_12
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DOI: https://doi.org/10.1007/978-3-642-17946-4_12
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