The standard definition of autonomies is that of self-governance, including such properties as self-configuring, self-healing and self-optimizing. To really enable self-anything, however, we must first deliver another 'self-' property - self-knowledge. We define self-knowledge as information about a system enabling it to reason on its own capabilities and actions. This knowledge can come in many forms but we propose that there are essentially two key elements: knowledge of the individual parts of the system, and knowledge about the rules that determine the interaction of these system components. This paper presents a model describing self-knowledge, with policy for defining rules and profiles to express the individual entities knowledge. © IFIP International Federation for Information Processing 2006.
CITATION STYLE
Carroll, R., Strassner, J., Cox, G., & Van Der Meer, S. (2006). Policy and profile: Enabling self-knowledge for autonomic systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4269 LNCS, pp. 239–245). Springer Verlag. https://doi.org/10.1007/11907466_22
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