Fetching the paper…
Reading the bibliography…
Traditional manufacturing faces challenges adapting to dynamic environments and quickly responding to manufacturing changes.
P. D. O’Brien and R. C. Nicol, “FIPA—Towards a Standard for Software Agents,” BT Technology Journal , vol. 16, pp. 51–59, 1998
1998
Earlier work this paper cites.
F. Bellifemine, A. Poggi, and G. Rimassa, “JADE–A FIPA-Compliant Agent Framework,” Proceedings of PAAM , vol. 99, no. 97-108, p. 33, 1999
1999
Earlier work this paper cites.
U. Hunkeler, H. L. Truong, and A. Stanford-Clark, “MQTT-S—A Publish/Subscribe Protocol for Wireless Sensor Networks,” 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE’08) , pp. 791–798, 2008
2008
Earlier work this paper cites.
MTConnect, 2008. [Online]. Available: http://www.mtconnect.org/
2008
Earlier work this paper cites.
M. Wooldridge, “An Introduction to MultiAgent Systems,” 2009
2009
Earlier work this paper cites.
P. Vrba, P. Tichỳ, V. Mařík, K. H. Hall, R. J. Staron, F. P. Maturana, and P. Kadera, “Rockwell Automation’s Holonic and Multiagent Control Systems Compendium,” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) , vol. 41, no. 1, pp. 14–30, 2010
2010
Earlier work this paper cites.
HelmanCNC, “CNC Mill Program Example Outer Contour Cutting with Drilling and Counterbore,” Jun 2014. [Online]. Available: https://www.helmancnc.com/
2014
Earlier work this paper cites.
B. Vogel-Heuser, J. Lee, and P. Leitão, “Agents Enabling Cyber-Physical Production Systems,” at-Automatisierungstechnik , vol. 63, no. 10, pp. 777–789, 2015
2015
Earlier work this paper cites.
A. M. Farid and L. Ribeiro, “An Axiomatic Design of a Multiagent Reconfigurable Mechatronic System Architecture,” IEEE Transactions on Industrial Informatics , vol. 11, no. 5, pp. 1142–1155, 2015
2015
Earlier work this paper cites.
S. Wang, J. Wan, D. Zhang, D. Li, and C. Zhang, “Towards Smart Factory for Industry 4.0: A Self-Organized Multi-Agent System with Big Data Based Feedback and Coordination,” Computer networks , vol. 101, pp. 158–168, 2016
2016
Earlier work this paper cites.
I. Kovalenko, D. Tilbury, and K. Barton, “The Model-based Product Agent: A Control Oriented Architecture for Intelligent Products in Multi-agent Manufacturing Systems,” Control Engineering Practice , vol. 86, pp. 105–117, 2019
2019
Earlier work this paper cites.
I. Kovalenko, D. Ryashentseva, B. Vogel-Heuser, D. Tilbury, and K. Barton, “Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems,” IEEE Robotics and Automation Letters , vol. 4, no. 3, pp. 2854–2861, 2019
2019
Cited alongside, same era.
L. Floridi and M. Chiriatti, “GPT-3: Its Nature, Scope, Limits, and Consequences,” Minds and Machines , vol. 30, pp. 681–694, 2020
2020
Cited alongside, same era.
Y. G. Kim, S. Lee, J. Son, H. Bae, and B. Do Chung, “Multi-Agent System and Reinforcement Learning Approach for Distributed Intelligence in a Flexible Smart Manufacturing System,” Journal of Manufacturing Systems , vol. 57, pp. 440–450, 2020
2020
Cited alongside, same era.
T. Schulte, G. Mouratidis, and V. Pfanschilling, “From Expert to Novice: Increasing Reactive Resilience by Transfering Knowledge,” Proceedings of the 2021 Pre-ICIS SIGDSA Symposium. 15 , 2021
2021
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
I. Kovalenko, E. C. Balta, D. M. Tilbury, and K. Barton, “Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-based Decision Framework,” IEEE Transactions on Automation Science and Engineering , vol. 20, no. 1, pp. 440–457, 2022
2022
Cited alongside, same era.
M. C. May, J. Neidhöfer, T. Körner, L. Schäfer, and G. Lanza, “Applying Natural Language Processing in Manufacturing,” Procedia CIRP , vol. 115, pp. 184–189, 2022
2022
Cited alongside, same era.
M. Bi, I. Kovalenko, D. M. Tilbury, and K. Barton, “Dynamic Distributed Decision-Making for Resilient Resource Reallocation in Disrupted Manufacturing Systems,” International Journal of Production Research , pp. 1–21, 2023
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
J. S. Park, J. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein, “Generative Agents: Interactive Simulacra of Human Behavior,” Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology , pp. 1–22, 2023
2023
Cited alongside, same era.
OpenAI, “Function Calling.” [Online]. Available: https://platform.openai.com/docs/guides/function-calling
Cited in the paper.
Later among the works it cites.
S. Badini, S. Regondi, E. Frontoni, and R. Pugliese, “Assessing the Capabilities of ChatGPT to Improve Additive Manufacturing Troubleshooting,” Advanced Industrial and Engineering Polymer Research , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
J. Lim, L. Pfeiffer, F. Ocker, B. Vogel-Heuser, and I. Kovalenko, “Ontology-Based Feedback to Improve Runtime Control for Multi-Agent Manufacturing Systems,” pp. 1–7, 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2024
Closest in time.
2024
Closest in time.
L. Xia, C. Li, C. Zhang, S. Liu, and P. Zheng, “Leveraging error-assisted fine-tuning large language models for manufacturing excellence,” Robotics and Computer-Integrated Manufacturing , vol. 88, p. 102728, 2024
2024
Closest in time.