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AI4SysSoS: Challenges for Artificial Intelligence-Machine Learning in Complex Systems and Systems of Systems

  • Date:
    Apr 18, 2021 - Apr 22, 2021
    UTC
  • Venue:
    Virtual
AI4SysSoS: Challenges for Artificial Intelligence-Machine Learning in Complex Systems and Systems of Systems
April 18, 2021 to April 22, 2021 - Porto, Portugal
Chair: 
Dr. Ramakrishnan Raman, Honeywell Technology Solutions, India Ramakrishnan.Raman@honeywell.com
Coordinator: Dr. Ali K Raz, George Mason University, USA araz@gmu.edu

This special track focuses on various systems engineering challenges pertaining to engineering Artificial Intelligence (specifically Machine Learning - including supervised learning, unsupervised learning and reinforcement learning) in complex systems and SoS.

Topics include, but not limited to:

  • AI implications on Emergence & Emergent Behavior in complex systems & SoS
  • System architecture & design challenges pertaining to AI enabled complex systems & SoS
  • Human-centered intelligent design and AI-ML to facilitate Human-Machine interaction for complex
  • Systems and SoS
  • Verification & Validation approaches for AI enabled complex systems & SoS
  • Challenges (e.g. explainability) in inculcating AI-ML in safety critical complex systems & SoS
Key Dates:
Submission: March 4, 2021
Notification: March 20, 2021

Registration: https://www.iariasubmit.org/conferences/submit/newcontribution.php?event=ICONS+2021+Special
 

Click hereto download flyer.