Self-Organizing Multi-Agent Systems

Doctoral thesis (2021)

Authors

C.J. van Leeuwen Embedded Systems - EEMCS , TNO
Research Group
Embedded Systems (EEMCS) (TU Delft)
Copyright: © 2021 C.J. van Leeuwen
DOI: https://doi.org/10.4233/uuid:face1276-5025-4853-996a-30d6771cf24d
Smart Grid Self-organisation Wireless Power Transfer Distributed optimization Multi-agent systems Artificial Intelligence (AI) Autonomous systems
More Info
expand_more

Published Date

2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Embedded Systems

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.