@article{ref1,
title="Agent-based decision support for failure-prone networked infrastructures",
journal="International journal of critical infrastructures",
year="2009",
author="Dam, Koen H. Van and Lukszo, Zofia and Srinivasan, Rajagopalan",
volume="5",
number="4",
pages="323-339",
abstract="The operation of existing infrastructures is often inefficient and subject to failures. When a failure occurs, various stakeholders need to make decisions that are specific to the failure type and bear little resemblance to decisions faced during normal operation. In this work, we demonstrate a model-based approach to making rational decisions in such situations. Agent-based models serve as a suitable paradigm for modelling complex sociotechnical systems. Given the broad similarities between different networked infrastructure systems, an ontology has been developed as the foundation for a 'model factory' for such systems. A specific application of this model factory to a refinery supply chain system is described. Further, the use of this simulation model for decision support to manage an abnormal situation in the supply chain is reported.<p />",
language="",
issn="1475-3219",
doi="10.1504/IJCIS.2009.029112",
url="http://dx.doi.org/10.1504/IJCIS.2009.029112"
}