Modeling Cyber-Physical Systems with Semantic Agents
The development of accurate models for cyber physical systems (CPSs) is hampered by the complexity of these systems, fundamental differences in the operation of cyber and physical components, and significant interdependencies among these components. Agent-based modeling shows promise in over coming these challenges, due to the flexibility of software agents as autonomous and intelligent decision-making components. Semantic agent systems are even more capable, as the structure they provide facilitates the extraction of meaningful content from the data provided to the software agents. In this paper, we present a multi-agent model for a CPS, where the semantic capabilities are underpinned by sensor networks that provide information about the physical operation to the cyber infrastructure. This model is used to represent the static structure and dynamic behavior of an intelligent water distribution network as a CPS case study.
J. Lin et al., "Modeling Cyber-Physical Systems with Semantic Agents," Proceedings of the 34th Annual IEEE Computer Software and Applications Conference Workshops (2010, Seoul, South Korea), pp. 13-18, Institute of Electrical and Electronics Engineers (IEEE), Jul 2010.
The definitive version is available at http://dx.doi.org/10.1109/COMPSACW.2010.13
34th Annual IEEE Computer Software and Applications Conference Workshops (2010: Jul. 19-23, Seoul, South Korea)
Electrical and Computer Engineering
Keywords and Phrases
Cyber-Physical Systems; Multi-Agent Model; Semantic Service; UML; Water Distribution Networks; Autonomous Agents; Computer Applications; Decision Making; Distributed Parameter Networks; Embedded Systems; Intelligent Agents; Multi Agent Systems; Semantics; Water Distribution Systems; Models
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Article - Conference proceedings
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