Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing
This work was supported by the German Niedersächsisches Ministerium für Wissenschaftund Kultur (MWK) in the programme PROFILinternational, as well as the Spanish Ministry of Science and Innovation, co-funded by EU FEDER Funds, through grants RTI2018-095390-B-C33, PID2021-123673OB-C32 and TED2021-131...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad Rey Juan Carlos |
| Repositorio: | BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos |
| OAI Identifier: | oai:burjcdigital.urjc.es:10115/27713 |
| Acceso en línea: | https://hdl.handle.net/10115/27713 |
| Access Level: | acceso abierto |
| Palabra clave: | crowdsourcing data stream learning multiagent systems collaborative coordination market-based coordination |
| Sumario: | This work was supported by the German Niedersächsisches Ministerium für Wissenschaftund Kultur (MWK) in the programme PROFILinternational, as well as the Spanish Ministry of Science and Innovation, co-funded by EU FEDER Funds, through grants RTI2018-095390-B-C33, PID2021-123673OB-C32 and TED2021-131295B-C33. |
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