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.

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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

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article

Using Web3.0 to build trust in agent-based additive manufacturing systems

James Gopsill, Phil Walker-Davies
Procedia CIRP
Additive Manufacturing and 3D Printing Technologies
article

Using Web3.0 to build trust in agent-based additive manufacturing systems

James Gopsill, Phil Walker-Davies
article en

Abstract

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.

Procedia CIRPVol. 134
At Bristol (GB), University of Bristol (GB)
UK Research and Innovation
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Additive Manufacturing and 3D Printing Technologies
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