Print Email Facebook Twitter Self-Organizing Multi-Agent Systems Title Self-Organizing Multi-Agent Systems Author van Leeuwen, C.J. (TU Delft Embedded Systems; TNO) Contributor Langendoen, K.G. (promotor) Pawełczak, Przemysław (copromotor) Degree granting institution Delft University of Technology Date 2021-02-08 Abstract In this thesis I research the ability of groups of agents to organize their collective behavior, without any human intervention. Using a framework for gathering information of the behavior, analyzing the performance, and updating the behavior, the agents can adapt to changing environments or user requirements. In my thesis I use different mechanisms driving the self-organization, but mostly focus on Distributed Constraint Optimization Problems (DCOPs) to do so. A new algorithm called CoCoA (Cooperative Constraint Approximation) is used to quickly find solutions that are near-optimal. Throughout my thesis the approach is put to use for different applications such as sensor networks, wireless power transfer networks and smart grids. Subject Self-organisationMulti-agent systemsArtificial Intelligence (AI)distributed optimizationSmart GridWireless Power TransferAutonomous systems To reference this document use: https://doi.org/10.4233/uuid:face1276-5025-4853-996a-30d6771cf24d ISBN 978-94-6366-362-5 Bibliographical note data: https://doi.org/10.4121/13066052 code: https://doi.org/10.4121/13066028 Part of collection Institutional Repository Document type doctoral thesis Rights © 2021 C.J. van Leeuwen Files PDF C.J._van_Leeuwen_Self_Org ... ystems.pdf 1.57 MB PDF C.J._van_Leeuwen_Propositions.pdf 22.13 KB Close viewer /islandora/object/uuid:face1276-5025-4853-996a-30d6771cf24d/datastream/OBJ1/view