Title
Towards viable computer systems: a set theory interpretation of ecological dependence within Beer's self-organizing viable system model
Abstract
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.
Year
DOI
Venue
2009
10.1145/1643823.1643837
MEDES
Keywords
Field
DocType
recursive level,self-organizing viable system model,autonomic computing state,viable computing systems,algorithmic decomposition,autonomic computing technique,towards viable computer system,ecological dependence,multi-agent viable system model,self-organizing environments exhibit evolution,integrated management,resource management,set theory interpretation,self-organizing system,cybernetics,autonomic computing,viable system model,self organizing systems
Ecology,Data mining,Autonomic computing,Computer science,Viable system model,Self-organization,Knowledge management,Syntax,Recursion,Cybernetics,Management science,Resource management,Grammar
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
R. J. Thompson111.05
A. G. Laws291.40
D. J. Reilly300.34
A. Taleb-Bendiab438348.64
D. Llewellyn-Jones541.08