Multi-agent learning (MAL) has emerged as a promising artificial intelligence (AI) and machine learning (ML) paradigm for creating agent-based technologies to develop, secure, and operate cyber-physical-human networks (CPHNs).
Multi-agent learning (MAL) has emerged as a promising artificial intelligence (AI) and machine learning (ML) paradigm for creating agent-based technologies to develop, secure, and operate cyber-physical-human networks (CPHNs).
These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.