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In autonomic computing, self-adaptation has been proposed as a fundamental paradigm to manage the complexity of multiagent systems (MASs).
E. Pagello, A. D’Angelo, F. Montesello, F. Garelli, and C. Ferrari, “Cooperative behaviors in multi-robot systems through implicit communication,” Robotics and Autonomous Systems , vol. 29, no. 1, pp. 65–77, 1999
1999
Earlier work this paper cites.
2003
Earlier work this paper cites.
I. Redbooks and I. B. M. C. I. T. S. Organization, A Practical Guide to the IBM Autonomic Computing Toolkit , ser. IBM redbooks. IBM, International Support Organization, 2004. [Online]. Available: https://books.google.com.au/books?id=XHeoSgAACAAJ
2004
Earlier work this paper cites.
D. Weyns and M. Georgeff, “Self-adaptation using multiagent systems,” IEEE software , vol. 27, no. 1, pp. 86–91, 2009
2009
Earlier work this paper cites.
N. M. do Nascimento and C. J. P. de Lucena, “Fiot: An agent-based framework for self-adaptive and self-organizing applications based on the internet of things,” Information Sciences , vol. 378, pp. 161–176, 2017
2017
Earlier work this paper cites.
A. Farahani, E. Nazemi, G. Cabri, and N. Capodieci, “Enabling autonomic computing support for the jade agent platform,” Scalable Computing: Practice and Experience , vol. 18, no. 1, pp. 91–103, 2017
2017
Earlier work this paper cites.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell et al. , “Language models are few-shot learners,” Advances in neural information processing systems , vol. 33, pp. 1877–1901, 2020
2020
Cited alongside, same era.
B. Porter, R. Rodrigues Filho, and P. Dean, “A survey of methodology in self-adaptive systems research,” in 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) . IEEE, 2020, pp. 168–177
2020
Cited alongside, same era.
P. Dehraj and A. Sharma, “A review on architecture and models for autonomic software systems,” The Journal of Supercomputing , vol. 77, pp. 388–417, 2021
2021
Cited alongside, same era.
R. Araújo and R. Holmes, “Lightweight self-adaptive configuration using machine learning,” in Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering , 2021, pp. 133–142
2021
Cited alongside, same era.
2022
Later among the works it cites.
I. Fakhir, A. R. Kazmi, A. Qasim, and A. Ishaq, “Smacs: A framework for formal verification of complex adaptive systems,” Open Computer Science , vol. 13, no. 1, p. 20220275, 2023
2023
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R. Sendra-Arranz and Á. Gutiérrez, “Emergence of communication through artificial evolution in an orientation consensus task in swarm robotics,” in IFIP International Conference on Artificial Intelligence Applications and Innovations . Springer, 2023, pp. 515–526
2023
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Y. Altshuler, “Recent developments in the theory and applicability of swarm search,” Entropy , vol. 25, no. 5, p. 710, 2023
2023
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J. Cleland-Huang, A. Agrawal, M. Vierhauser, M. Murphy, and M. Prieto, “Extending mape-k to support human-machine teaming,” in Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems , 2022, pp. 120–131
2022
Cited alongside, same era.
2022
Cited alongside, same era.
2023
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J. Andersson, M. Caporuscio, M. D’Angelo, and A. Napolitano, “Architecting decentralized control in large-scale self-adaptive systems,” Computing , pp. 1–34, 2023
2023
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