Chairs
Mohammed Saeed Jawad
International University of Sarajevo (IUS), Bosnia and Herzegovina
Giacomo Cabri
University of Modena and Reggio Emilia (UNIMORE), Italy
Marcin Mrugalskik
University of Zielona Góra, Poland
The rapid evolution of large‑scale Systems‑of‑Systems (SoS)—spanning smart cities, healthcare, industrial automation, aerospace, and space ecosystems—is driving a shift toward highly distributed, autonomous, and intelligent environments. These interconnected systems increasingly rely on decentralized decision‑making, where Agentic AI—goal‑driven, adaptive, and collaborative autonomous agents—plays a central role in orchestrating complex operations.
Despite significant progress, major challenges remain. Ensuring that such systems are trustworthy, explainable, auditable, and compliant with governance frameworks is becoming essential. Existing methodologies often lack integrated mechanisms for policy enforcement, accountability, and human oversight, especially in dynamic and large‑scale SoS environments.
This special session addresses these gaps by focusing on governance‑aware Agentic AI, compliance‑by‑design architectures, and explainable intelligence that ensures transparent and reliable system behavior. The session also highlights the integration of AI‑enabled digital twins for real‑time monitoring, simulation, and adaptive control.
Aligned with MCSoS themes—including autonomous systems, cyber‑physical systems, distributed intelligence, and complex system integration—this session also engages with global AI governance challenges such as the EU AI Act and emerging international regulatory frameworks.
2. Special Session Goals
- Advance research on Agentic AI within expansive Systems‑of‑Systems
- Develop governance‑compliant, accountable, and explainable AI architectures
- Enable seamless integration of digital twins with real‑time intelligent decision systems
- Promote the creation of trustworthy, auditable, and human‑centered AI ecosystems
- Foster interdisciplinary collaboration across academia, industry, and policy sectors
3. Specific Interests
The session welcomes original contributions including, but not limited to:
- Agentic AI for large‑scale Systems‑of‑Systems (SoS)
- Frameworks for compliant‑by‑design and governance‑aware AI
- Trustworthy, explainable, and transparent AI in distributed environments
- AI‑driven digital twins for monitoring, simulation, and adaptive control
- Multi‑agent coordination and distributed intelligence
- Workflow automation and enterprise‑scale intelligent systems
- AI for sustainable urban development and smart infrastructures
- Collaborative systems involving drones, satellites, and autonomous platforms
- Cybersecurity enhanced by human‑centered AI
- Formal logic and verification for autonomous and agent systems
- AI with blockchain for provisioning, governance, and auditability
- Edge AI and real‑time distributed intelligence
- AI for societal innovation and public‑service transformation
4. Goals for the Special Session
This session aims to secure at least 10 submissions, with 6 accepted papers published in the IEEE conference proceedings. Additional goals include:
- Establishing international research partnerships
- Creating opportunities for PhD and Master’s research extensions
- Developing impactful case studies, frameworks, and architectures
- Advancing discussions on AI governance and policy development
5. Target Participants
The session intends to attract:
- Academics in Artificial Intelligence, Systems Engineering, and Distributed Systems
- Practitioners in automation, aerospace, and smart infrastructure
- Government agencies, policymakers, and industry leaders in AI ethics and governance
- Students, early‑career researchers, and emerging innovators
6. Submission and Review Process
All submissions must follow the MCSoS guidelines and adhere to IEEE formatting requirements. Papers will undergo a rigorous review process, receiving one to three rounds of anonymous feedback.
