Emergent intelligence in agents: A scalable architecture for smart cities

The Smart City concept is the context in which a scalable agent architecture with emergent properties is introduced in this paper. These agents form on-demand control loops within the urban system, taking into account both the protection and the comfort of its inhabitants, at varying degrees of inte...

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Bibliographic Details
Published in2014 18th International Conference on System Theory, Control and Computing (ICSTCC) pp. 181 - 186
Main Authors Patrascu, Monica, Dragoicea, Monica, Ion, Andreea
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
agent architecture
agent based simulation
Cities and towns
Collaboration
Computer architecture
Control systems
emergency response
Microprocessors
on-demand control systems
Performance evaluation
Rail transportation
real-time analysis
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Summary:The Smart City concept is the context in which a scalable agent architecture with emergent properties is introduced in this paper. These agents form on-demand control loops within the urban system, taking into account both the protection and the comfort of its inhabitants, at varying degrees of intelligence and abstraction of tasks and/or purpose. The resulting flexibility and scalability of the system allows expansion and contraction of the systemic environments, integration with emergency response units, protection of human lives, as well as day to day regular operations. The case study included in this paper illustrates the real-time creation of a control loop for an underground railway intersection system. The objective of forming the traffic light and rail switch control loops is first formulated, followed by the message exchange between devices in order to perform the reorganization of the system, in an agent based simulation scenario.
DOI:10.1109/ICSTCC.2014.6982412