Adaptive System to Manage User Comfort Preferences and Conflicts at Everyday Environments
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23210-7_18
Reference8 articles.
1. Chaouche, A.C., Seghrouchni, A.E.F., Ilié, J.M., Saidouni, D.E.: A higher-order agent model with contextual planning management for ambient systems. In: Transactions on Computational Collective Intelligence XVI, pp. 146–169. Springer, Heidelberg (2014)
2. Oliveira, P., Matos, P., Novais, P.: Behaviour analysis in smart spaces. In: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pp. 880–887. IEEE (2016)
3. Oliveira, P., Novais, P., Matos, P.: Challenges in smart spaces: aware of users, preferences, behaviours and habits. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 268–271. Springer, Heidelberg (2017)
4. Oliveira, P., Pedrosa, T., Novais, P., Matos, P.: Towards to secure an IoT adaptive environment system. In: International Symposium on Distributed Computing and Artificial Intelligence, pp. 349–352. Springer, Heidelberg (2018)
5. Oliveira, P.F., Novais, P., Matos, P.: A multi-agent system to manage users and spaces in a adaptive environment system. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 330–333. Springer, Heidelberg (2019)
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