Sensing emergence in complex systems

Niazi, Muaz A.; Hussain, Amir

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.

• Journal Article Type: Article
• Online Publication Date: Apr 15, 2011
• Publication Date: 2011-10
• Deposit Date: Oct 15, 2019
• Journal: IEEE Sensors Journal
• Print ISSN: 1530-437X
• Electronic ISSN: 1558-1748
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 10
• Pages: 2479-2480
• DOI: https://doi.org/10.1109/JSEN.2011.2142303
• Keywords: Agent-based simulation, cognitive sensor networks, complex adaptive system (cas), environment, event detection, flocking, multiagent systems
• Public URL: http://researchrepository.napier.ac.uk/Output/1793374