Using Web3.0 to build trust in agent-based additive manufacturing systems
Artificial Intelligent agent (AIgent) based manufacturing systems use peer-to-peer communications to broker work, collectively maintain operational capability, and collectively learn and improve manufacturing quality. They are proving themselves to be resilient and responsive to disruption and changes in demand – key tenets of future manufacturing systems. The research to-date has assumed trust amongst AIgents, which cannot be guaranteed in decentralised distributed systems. The ability to build trust is necessary for industrial AIgent manufacturing systems. This paper starts this journey by reporting a proof-of-concept demonstrator to achieve trust amongst firm and Machine AIgents using Web3.0 technologies. A discussion highlights three research challenges that need to be addressed by the community.
Authors
- James Gopsill (ORCID: https://orcid.org/0000-0003-2125-0466)
- Phil Walker-Davies
Institutions
- At Bristol (GB)
- University of Bristol (GB)
Publication Details
- Journal
- Procedia CIRP
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procir.2025.02.183
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation