Publications

A Framework for the Manifestation of Tacit Critical Infrastructure Knowledge

Ebrahim Bagheri and Ali A. Ghorbani
Reference:
Ebrahim Bagheri and Ali A. Ghorbani A Framework for the Manifestation of Tacit Critical Infrastructure Knowledge. In Sustainable and Resilient Critical Infrastructure Systems, pages 139-158, 2010.
Links to Publication: [doi]
Abstract:
Critical infrastructure systems are tightly-coupled socio-technical systems with complicated behavior. They have emerged as an important focal point of research due to both their vital role in the normal conduct of societal activities as well as their inherent appealing complications for researchers. In this chapter, we will report on our experience in developing techniques, tools and algorithms for revealing and interpreting the hidden intricacies of such systems. The chapter will include the description of several of our technologies that allow for the guided understanding of the current status quo of infrastructure systems through the Astrolabe methodology, the formal profiling of infrastructure systems using the UML-CI meta-modeling mechanism, and also observing the emergent behavior of these complex systems through the application of the agent-based AIMS simulation suite.
Bibtex Entry:
@incollection{DBLP:conf/GKPS/BagheriG10, author = {Ebrahim Bagheri and Ali A. Ghorbani}, title = {A Framework for the Manifestation of Tacit Critical Infrastructure Knowledge}, booktitle = {Sustainable and Resilient Critical Infrastructure Systems}, editor = {Gopalakrishnan, Kasthurirangan and Peeta, Srinivas}, year = {2010}, pages = {139-158}, ee = {http://dx.doi.org/10.1007/978-3-642-11405-2_5}, bibsource = {DBLP, http://dblp.uni-trier.de}, abstract = {Critical infrastructure systems are tightly-coupled socio-technical systems with complicated behavior. They have emerged as an important focal point of research due to both their vital role in the normal conduct of societal activities as well as their inherent appealing complications for researchers. In this chapter, we will report on our experience in developing techniques, tools and algorithms for revealing and interpreting the hidden intricacies of such systems. The chapter will include the description of several of our technologies that allow for the guided understanding of the current status quo of infrastructure systems through the Astrolabe methodology, the formal profiling of infrastructure systems using the UML-CI meta-modeling mechanism, and also observing the emergent behavior of these complex systems through the application of the agent-based AIMS simulation suite.} }




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