Nicole Orzan (PhD, University of Groningen). Cooperation Under Uncertain Incentive Alignment: A Multi-Agent Reinforcement Learning Perspective
Barbera de Mol (AI Master, University of Groningen). Power grid topology reconfiguration using centrally coordinated multi-agent reinforcement learning.
Ivo Steegstra (AI Master, University of Groningen). Emergent Symbiotic Speciation: Growing Hologenomes with Cooperative Coevolution
Jonathan Reid (AI Master, University of Groningen). Multi-label Classification with Random Ensemble Classifiers and Multi-winner Voting.
Yuzhe Zhang (PhD, University of Groningen). Power and Truth in Liquid Democracy.
Stefan Stokvisch (AI Master, University of Groningen). Evaluating a voting-based solution to the blockchain oracle problem.
Leonidas Zotos (AI Master, University of Groningen). Adaptive auctions for traffic coordination.
Boris Winter (AI Master, University of Groningen). Buy-or-rent decisions in a two-token blockchain network.
Lex Koelewijn (AI Master, University of Groningen). The effects of proof-of-stake design on consensus: a game-theoretical simulation-based approach.
Francesca Perin (AI Master, University of Groningen). Finding optimal containment policies to balance GDP and mortality in a SEIARDS-V model using reinforcement learning.
Umut Demirci (AI Master, University of Groningen). Into a New Home: Voting Methods for Honeybees Nest-site Decision Making.
Lukas Felderhoff (Master of Logic, University of Amsterdam). Single-peaked Electorates in Liquid Democracy.
Nicolien Janssens (Master of Logic, University of Amsterdam). Communicate and Vote: Collective Truth-Tracking in Networks.
Maaike Los (AI Master, University of Groningen). Choosing Fair Committees and Budgets: Proportionality in Multi-Winner Elections and Participatory Budgeting. Recipient of the 2nd Prize KNVI/KIVI young talent award for best MSc Computer Science thesis in the Netherlands in 2021.
Matteo Michelini (Master of Logic, University of Amsterdam). When Being the Fifth Wheel Pays Off: Wisdom of the Crowds with Costly Information.
Jorge Anton (AI Master, University of Groningen). False-name manipulation of voting systems: Theory and an application to the US 2020 presidential election.