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Quality-Based Reinforcement Learning in Intelligent Opportunistic Software Composition.

, , , and . WETICE, page 7-12. IEEE, (2021)

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Combining Web Services and Multi-Agent Technology to Increase Web Cooperative Capacities., , and . ICIW, page 25. IEEE Computer Society, (2007)The multi-agent cooperative navigation system Mawa: a model of dynamic knowledge specialization for a user-centric analyse of the Web., , and . CIMCA/IAWTIC, page 289-294. IEEE Computer Society, (2005)Opportunistic Composition of Human-Computer Interactions in Ambiant Spaces., , , , , , and . UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, page 998-1005. IEEE, (2016)Quality-Based Reinforcement Learning in Intelligent Opportunistic Software Composition., , , and . WETICE, page 7-12. IEEE, (2021)Composition opportuniste de fragments d'IHM pour une interaction adaptative en environnement ambiant., , , , , , and . Ubimob, (2016)Meta-Monitoring Using an Adaptive Agent-Based System to Support Dependent People in Place., , and . IJATS, 3 (1): 39-51 (2011)Distributed Classification: Architecture and Cooperation Protocol in a Multi-agent System for E-Health., , , and . KES-AMSTA (1), volume 6070 of Lecture Notes in Computer Science, page 341-350. Springer, (2010)Automated user-oriented description of emerging composite ambient applications., , , and . SEKE, page 473-611. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2019)Opportunistic Software Composition: Benefits and Requirements., , , and . ICSOFT-EA, page 426-431. SciTePress, (2015)Towards an Intelligent User-Oriented Middleware for Opportunistic Composition of Services in Ambient Spaces., , , and . M4IoT@Middleware, page 25-30. ACM, (2018)