Cyber-Physical Systems (CPS) constitute a foundational pillar of the Future Networked Society, in which humans, software agents, infrastructures, IoT devices, and robotic systems interact within open, dynamic, and large-scale environments. These systems are geographically and functionally distributed, composed of heterogeneous components owned by multiple stakeholders, and characterized by decentralized control, real-time constraints, incomplete information, and potentially conflicting objectives.
The BICyPS Workshop is devoted to advancing the integration of distributed, scalable, and ethical Artificial Intelligence into cyber-physical environments. As CPS become increasingly autonomous and interconnected, intelligent coordination mechanisms are required to ensure robustness, efficiency, fairness, and social welfare—while preserving the autonomy of individual actors.
BICyPS aims to bring together researchers and practitioners working on distributed, ethical, and explainable AI for CPS. The workshop fosters interdisciplinary dialogue on how to design, engineer, validate, and govern next-generation intelligent systems that are autonomous, trustworthy, and aligned with human values.
The workshop promotes research grounded in Multi-Agent Systems (MAS), distributed optimization, value engineering, agreement technologies, and AI-based techniques for distributed and decentralized decision-making. In this paradigm, each actor—whether human, software-based, robotic, or infrastructural—is modeled as an autonomous agent capable of local computation and coordination through communication with others.
Recent advances in sensing technologies, communication networks, and edge computing enable new forms of real-time distributed coordination. These developments are fostering architectures in which intelligence is embedded across the network, allowing agents to operate cooperatively in dynamic and uncertain contexts with enhanced robustness, adaptability, and responsiveness.
BICyPS 2026 seeks contributions exploring the integration of distributed intelligence, agreement technologies, machine learning, and value-aware AI within CPS architectures. Particular attention is given to:
Formal models of ethical reasoning in distributed environments
Decentralized and distributed decision-making architectures
Explainable and trustworthy AI in open and regulated systems
Hybrid symbolic–subsymbolic approaches for CPS
Distributed coordination and agreement technologies
Optimization techniques for Multi-Agent Systems
Fairness, social welfare, and value-aware optimization
Incentive design and mechanism engineering in MAS
Emergent behavior and system-level control in open MAS
Edge-Cloud intelligence and distributed AI in IoT-enabled CPS
Large-scale MAS for smart infrastructures
Human–AI–robot collaboration
Coordination and applications of multi-robot systems
Ethical auditing and governance frameworks for AI-enabled CPS
Emerging challenges in robotics, autonomous fleets, smart energy systems, distributed IoT coordination, intelligent infrastructures, and AI-assisted decision-making, including sensitive domains such as recruitment and public services, require interdisciplinary collaboration.
Students who attend all workshop sessions will be awarded 0.575 ECTS credits, computable toward RAC.
For further information, please contact: bicyps2026@gmail.com