Abstract
This paper analyses the new requirements for real time resource management systems based on multi-agent technology. It shows the growing demand for developing autonomous systems which combine resource allocation, scheduling, optimization, communication with users and control in one cycle and can respond rapidly to unexpected events in real time. To solve the problem, cyber-physical multi-agent systems are considered. The paper also analyses the new impact which such systems bring into design of modern systems on the way from smart Internet of Things—to new organizations and ways of user motivation.
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IBM: Capitalizing on Complexity? Insights from the Global Chief Executive Officer Study. IBM USA (2010)
Leitão, P., Skobelev, P., Pazienza, G., Kazanskaia, D., Barbosa, J.: Agent-based production planning and optimization. In: Adaptive Rump Up Management. Springer (2016) (in publishing)
Rzevski, G., Skobelev, P.: Managing Complexity. WIT Press, London-Boston (2014)
Gartner: Top strategic predictions for 2016 and beyond: the future is a digital thing (2016). https://www.gartner.com/doc/3142020?refval=&pcp=mpe. Accessed 10 June 2016
Trentesaux, D.: Distributed control of production systems. Eng. Appl. Artif. Intell. 22(7), 971–978 (2009)
Wooldridge M.: An Introduction to MultiAgent Systems. John Wiley & Sons (2009)
Luck M., et al.: Agent technology: computing as interaction (A Roadmap for Agent Based Computing). http://www.agentlink.org/roadmap/. AgentLink (2005) Accessed June 15 2016
Skobelev, P.: Multi-agent systems for real time adaptive resource management. In: Industrial Agents: Leitão, P., Karnouskos, S. (eds.) Emerging Applications of Software Agents in Industry. Elsevier (2015)
Leitao, P., Vrba, P.: Recent developments and future trends of industrial agents. In: Proceedings of HoloMAS-2011, Holonic and Multi-agent Systems for Manufacturing, vol. 6867, Lecture Notes in Computer Science. Springer (2012)
DeLoach, S.A.: Moving multi-agent systems from research to practice. Int. J. Agent-Orient. Softw. Eng. 3(4) (2009)
Műller, J., Fisher, K.: Application impact of multiagent systems and technologies: a survey. In: Agent-Oriented Software Engineering. Springer (2013)
Acknowledgements
This paper was prepared with the financial support of the Ministry of Education and Science of the Russian Federation—contract No. 14.578.21.0137, project unique ID is RFMEFI57815X0137.
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Skobelev, P., Trentesaux, D. (2017). Disruptions Are the Norm: Cyber-Physical Multi-agent Systems for Autonomous Real-Time Resource Management. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., Oliveira, J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing . SOHOMA 2016. Studies in Computational Intelligence, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-51100-9_25
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DOI: https://doi.org/10.1007/978-3-319-51100-9_25
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