Self-Organizing Multi-Agent Systems

Research output: ThesisDissertation (TU Delft)

8 Downloads (Pure)

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.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Langendoen, K.G., Supervisor
  • Pawelczak, P., Advisor
Thesis sponsors
Award date8 Feb 2021
Print ISBNs978-94-6366-362-5
DOIs
Publication statusPublished - 2021

Keywords

  • Self-organisation
  • Multi-agent systems
  • Artificial Intelligence (AI)
  • distributed optimization
  • Smart Grid
  • Wireless Power Transfer
  • Autonomous systems

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