Decentralised Governance for Autonomous Cyber-Physical Systems
<|reference_start|>Decentralised Governance for Autonomous Cyber-Physical Systems: This paper examines the potential for Cyber-Physical Systems (CPS) to be governed in a decentralised manner, whereby blockchain-based infrastructure facilitates the communication between digital and physical domains through self-governing and self-organising principles. Decentralised governance paradigms that integrate computation in physical domains (such as 'Decentralised Autonomous Organisations' (DAOs)) represent a novel approach to autono-mous governance and operations. These have been described as akin to cybernetic systems. Through the lens of a case study of an autonomous cabin called "no1s1" which demonstrates self-ownership via blockchain-based control and feedback loops, this research explores the potential for blockchain infrastructure to be utilised in the management of physical systems. By highlighting the considerations and challenges of decentralised governance in managing autonomous physical spaces, the study reveals that autonomy in the governance of autonomous CPS is not merely a technological feat but also involves a complex mesh of functional and social dynamics. These findings underscore the importance of developing continuous feedback loops and adaptive governance frameworks within decentralised CPS to address both expected and emergent challenges. This investigation contributes to the fields of infra-structure studies and Cyber-Physical Systems engineering. It also contributes to the discourse on decentralised governance and autonomous management of physical spaces by offering both practical insights and providing a framework for future research.<|reference_end|>
@article{nabben2024decentralised,
    title={Decentralised Governance for Autonomous Cyber-Physical Systems},
    author={Kelsie Nabben (1) and Hongyang Wang (2), Michael Zargham (3) ((1)
  European University Institute, (2) ETH Zurich, (3) Block Science)},
    journal={arXiv preprint arXiv:2407.13566},
    year={2024},
    number={Dawo/2024/20},
    archivePrefix={arXiv},
    eprint={2407.13566},
    primaryClass={cs.CY cs.SI cs.SY eess.SY}
}