ICSE '87 Proceedings of the 9th international conference on Software Engineering
Legacy Systems: Coping with Success
IEEE Software
The Vision of Autonomic Computing
Computer
Cybernetics and General Systems Theory (GST) Principles for Autonomic Computing Design
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Autonomic system design based on the integrated use of SSM and VSM
Artificial Intelligence Review
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Presented is research articulating a novel technology progressing resource management within self-organizing systems. Examining both Cybernetic and Autonomic Computing techniques we evolve a set-theory oriented, atomically-derived, emergent model that reflects an algorithmic decomposition of Beer's recursive, multi-agent Viable System Model, pertinent by its composition of multiple and independent entities, sharing one or more objectives. Integrated management promotes each sub-system as a whole within a closed ecological meta-boundary. The relationships between sub-systems is demonstrated via syntax subscripts, while the relationship linking recursive levels is recognized via superscripts. The resultant design grammar endorses autonomy versus governance, exploiting cybernetic, biological and mathematical metaphors, crucially seeking inherent learning and control through system-environment interplay. Focusing on interactions and inter-relationships, the self-organizing environments exhibit evolution of systemic elements, conserving yet managing resources provided by each entity. Research ultimately aspires augm entation of the Autonomic Computing state of the art into the original field of Viable Computing Systems.