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Development of Resource-Demand Networks for Smart Cities 5.0

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Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11710))

Abstract

In the paper, the new vision of “Smart City 5.0” is presented. It is based on a previously developed model of Smart City 4.0 and implementing the concept of the complex adaptive system for balancing conflict interests of different city actors. These actors can include business, transport, energy and water supply providers, entertainment and other services and can be unified based on resource and demand model.

The paper describes the general principals, functionality and the architecture of the digital multi-agent platform for creating eco-system of “Smart City 5.0”. It is designed as holonic p2p network of smart services and technological components for supporting demand-resource relations.

It is shown that in proposed eco-system smart services can interact both vertically and horizontally supporting competition and cooperation behavior on the basis of specialized protocols of p2p network. In the future, each smart service is considered as an autonomous cyber-physical multi-agent system which can be decomposed on a lower level of smaller services recursively.

The first prototypes of smart services and their interaction are presented, the next steps for future research work are outlined.

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Acknowledgment

This work was supported by the European Regional Development Fund under the project AI&Reasoning (reg. no. CZ.02.1.01/0.0/0.0/15_003/0000466).

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Correspondence to Sergey Kozhevnikov .

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Kozhevnikov, S., Skobelev, P., Pribyl, O., Svítek, M. (2019). Development of Resource-Demand Networks for Smart Cities 5.0. In: Mařík, V., et al. Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2019. Lecture Notes in Computer Science(), vol 11710. Springer, Cham. https://doi.org/10.1007/978-3-030-27878-6_16

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  • DOI: https://doi.org/10.1007/978-3-030-27878-6_16

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  • Online ISBN: 978-3-030-27878-6

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