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Adaptive Environment System to Manage Comfort Preferences and Conflicts

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Optimization, Learning Algorithms and Applications (OL2A 2022)

Abstract

Managing comfort preferences conflicts of the different users and locals on an Internet of Things (IoT) adaptive system is a actual problem. This paper, proposes a protocol and hierarchical rules to develop a multi-agent system to achieve an Adaptive Environment System that supports interaction between persons and physical spaces, where spaces smartly adapt to their preferences in a transparent way. And also a set of security customization’s to secure the actuators and users on space, that has been developed using a multi agent system architecture with different features to achieve a solution that supports the proposed objectives. Supported by a base architecture to achieve the full system implementation.

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Acknowledgements

This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R &D Units Project Scope: UIDB/00319/2020.

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Correspondence to Pedro Filipe Oliveira .

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Oliveira, P.F., Novais, P., Matos, P. (2022). Adaptive Environment System to Manage Comfort Preferences and Conflicts. In: Pereira, A.I., Košir, A., Fernandes, F.P., Pacheco, M.F., Teixeira, J.P., Lopes, R.P. (eds) Optimization, Learning Algorithms and Applications. OL2A 2022. Communications in Computer and Information Science, vol 1754. Springer, Cham. https://doi.org/10.1007/978-3-031-23236-7_47

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  • DOI: https://doi.org/10.1007/978-3-031-23236-7_47

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  • Online ISBN: 978-3-031-23236-7

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