Abstract
The Internet of Things has set the foundation for countless innovative solutions, some of which are designed specifically for homes, offices, etc., with the aim to increase user comfort. In order to automatically increase user comfort by saving the user time and energy, the system has to obtain and process information about the conditions in the smart space, and the user’s needs and wishes. Context awareness, without which ambient intelligence could not be developed, relies on data collected from connected devices. Ambient intelligence is about meeting users’ needs and desires while taking context into account and making instantaneous adjustments to their actions and other context changes. In this paper, we propose a context-aware, user-centric multi-agent system that is able to independently determine ambient settings in a smart space according to the preferences of users present without any user intervention. The main advantage is that it serves more users, i.e., it is not focused on only one user and his preferences, but takes care of all present users and satisfies their wishes and needs regarding ambient conditions while harmonizing their different preferences. To achieve this, a negotiation process between intelligent user agents is proposed and described. The presented model is described on the use case of smart lighting.
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Acknowledgements
This work has been supported by Croatian Science Foundation under the project 1986 (IoT4us: Human-centric smart services in interoperable and decentralized IoT environments).
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Mandaric, K., Skocir, P., Jezic, G., Lovrek, I. (2022). Negotiation-Based Multi-agent System for Ambient Conditions Control in Accordance with Multiple User Preferences. In: Jezic, G., Chen-Burger, YH.J., Kusek, M., Šperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2022. Smart Innovation, Systems and Technologies, vol 306. Springer, Singapore. https://doi.org/10.1007/978-981-19-3359-2_9
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DOI: https://doi.org/10.1007/978-981-19-3359-2_9
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