Title :
Sensing Emergence in Complex Systems
Author :
Niazi, Muaz A. ; Hussain, Amir
Author_Institution :
Sch. of Natural Sci., Univ. of Stirling, Stirling, UK
Abstract :
We propose the Sensing of Emergent behavior in a Complex Adaptive System (SECAS), as an extension of our previous work Formal Agent-Based Simulation Framework (FABS). Using aggregated data from an array of proximity sensors, SECAS allows for the detection of complex behavior such as flocking of mobile robots or life forms. For validation, we develop an agent-based simulation model. Extensive simulation experiments using a wide range of randomly deployed sensors demonstrate the effectiveness of SECAS in the sensing of flocking.
Keywords :
adaptive systems; distributed sensors; emergent phenomena; large-scale systems; multi-agent systems; sensor arrays; sensor fusion; aggregated data; complex adaptive system; complex system; emergent behavior sensing; formal agent based simulation framework; proximity sensors array; randomly deployed sensors; Adaptation model; Adaptive systems; Intelligent sensors; Robot sensing systems; Sensor arrays; Agent-based simulation; cognitive sensor networks; complex adaptive system (cas); environment; event detection; flocking; multiagent systems;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2011.2142303
