Research Output
Sensing emergence in complex systems
  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.

  • Type:

    Article

  • Date:

    15 April 2011

  • Publication Status:

    Published

  • DOI:

    10.1109/JSEN.2011.2142303

  • ISSN:

    1530-437X

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Niazi, M. A., & Hussain, A. (2011). Sensing emergence in complex systems. IEEE Sensors Journal, 11(10), 2479-2480. https://doi.org/10.1109/JSEN.2011.2142303

Authors

Keywords

Agent-based simulation, cognitive sensor networks, complex adaptive system (cas), environment, event detection, flocking, multiagent systems

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