activity
20242026
collaborators

5 papers

cs.SI2026

From Caricature to Collective Artifact: How Persona Construction Drives Polarization in Generative Social Simulations

Dimitris Michailidis, Petter Törnberg, Fernando P. Santos

Generative Social Simulation (GSS) leverages Large Language Models (LLMs) to create sophisticated personas that define agents with demographics, emotions, and political opinions. W…

cs.LG2026

Smart Transportation Without Neurons -- Fair Metro Network Expansion with Tabular Reinforcement Learning

Dimitris Michailidis, Sennay Ghebreab, Fernando P. Santos

We tackle the Metro Network Expansion Problem (MNEP), a subset of the Transport Network Design Problem (TNDP), which focuses on expanding metro systems to satisfy travel demand. Tr…

cs.GT2026

Inequality in Congestion Games with Learning Agents

Dimitris Michailidis, Sennay Ghebreab, Fernando P. Santos

Who benefits from expanding transport networks? While designed to improve mobility, such interventions can also create inequality. In this paper, we show that disparities arise not…

physics.soc-ph2025

How large language models judge and influence human cooperation

Alexandre S. Pires, Laurens Samson, Sennay Ghebreab +1

Humans increasingly rely on large language models (LLMs) to support decisions in social settings. Previous work suggests that such tools shape people's moral and political judgemen…

cs.LG2024

Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance

Dimitris Michailidis, Willem Röpke, Diederik M. Roijers +2

Multi-Objective Reinforcement Learning (MORL) aims to learn a set of policies that optimize trade-offs between multiple, often conflicting objectives. MORL is computationally more…