Abstract
The paper introduces a new concept of Emergent Intelligence (EI) associated with the theory of complex adaptive systems and applied for digital twins of enterprises, complex technical objects and living organisms. The paper presents the key principles of designing EI systems and presents generalized model and method of EI collective decision making. It also discusses implementation of EI concept in the family of smart systems for resource management, text understanding, clustering, smart city design and digital twins of plants. The new features of EI systems are presented and plans for future research and development of EI systems are outlined.
Research is funded by a grant of the Russian Science Foundation № 22-41-08003, https://rscf.ru/project/22-41-08003/.
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References
Easley, D., Kleinberg, J.: Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge University Press (2010)
Galuzin, V., Galitskaya, A., Grachev, S., et al.: Autonomous digital twin of enterprise: method and toolset for knowledge-based multi-agent adaptive management of tasks and resources in real time. Mathematics 10(10), 1662 (2022)
Gorodetsky, V., Granichin, O., Skobelev, P.: Decentralization, self-organization, and emergent intelligence – a digital explosion of smart technologies. In: Proceedings of the 15th Multiconference on Management Problems, pp. 40–54. St. Petersburg, Russia (2022) (in Russian)
Grachev, S., Skobelev, P., Mayorov, I., et al.: Adaptive clustering through multi-agent technology: development and perspectives. Mathematics 8, 1664 (2020)
Holland, J.: Emergence: From Chaos to Order. Oxford University Press (1998)
Kalyaev, I.: How to measure artificial intelligence? Artific. Intell. Dec. Making 1, 95–103 (2023). (In Russian)
Kaufman, S.: At Home In the Universe: The Search for the Laws of Self-Organization and Complexity. Oxford Press (1995)
Novichkov, D., Grachev, S. Development of the smart system for analysis and synthesis of urban planning projects. In: Proceedings of the 14th Multiconference on Management Problems, pp. 166–169. Gelendzhik, Russia (2021) (In Russian)
Prigogine, I.: The End of Certainty: Time. Free Press, Chaos and the new Laws of Nature (1997)
Prigogine, I.: Is Future Given? World Scientific Publishing Co. (2003)
Rzevski, G., Skobelev, P.: Managing Complexity. WITPress (2014)
Rzevski, G., Skobelev, P.: Emergent intelligence in large scale multi-agent systems. Int. J. Educ. Inf. Technol 1, 64–71 (2007)
Rzevski, G., Skobelev, P., Zhilyaev, A.: Emergent intelligence in smart ecosystems: conflicts resolution by reaching consensus in resource management. Mathematics 10(11), 1923 (2022)
Skobelev, P., Mayorov, I., Simonova, E., et al.: Development of digital twin of plant for adaptive calculation of development stage duration and forecasting crop yield in a cyber-physical system for managing precision farming. In: Studies in Systems, Decision and Control, vol. 350, pp. 83–96. Springer Nature, Switzerland AG (2021)
Shoham, Y. Leyton-Brown, K.: Multi-agent Systems: Algorithmic, Game Theoretic and Logical Foundations, vol. 505. Cambridge University Press (2009)
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Skobelev, P.O. (2023). Emergent intelligence of Digital Twins: From Concept to Applications. In: Kovalev, S., Kotenko, I., Sukhanov, A. (eds) Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Lecture Notes in Networks and Systems, vol 776. Springer, Cham. https://doi.org/10.1007/978-3-031-43789-2_35
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