Stylianos Loukas Vasileiou
My research develops AI systems that can reason about and adapt to their human counterparts. On the methods side, I draw from knowledge representation, reasoning, and neurosymbolic AI. These tools enable research across four interconnected themes: explainable decision-making, collaborative decision-making, user modeling, and what I like to call, human-AI psychology.
selected publications
- AAMASArgumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For UsIn International Conference on Autonomous Agents and Multiagent Systems (AAMAS) BlueSky Track, 2026
- NeurIPSModel Reconciliation via Cost-Optimal Explanations in Probabilistic Logic ProgrammingIn Advances in Neural Information Processing Systems (NeurIPS), 2025
- JAIROn Generating Monolithic and Model Reconciling Explanations in Probabilistic ScenariosJournal of Artificial Intelligence Research (JAIR), 2025
- KRA Hybrid Logic–LLM System for Explainable Course SchedulingIn International Conference on Principles of Knowledge Representation and Reasoning (KR), 2025
- AAAIDoes Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue TracesIn Association for the Advancement of Artificial Intelligence (AAAI), 2025
- KRDialectical Reconciliation via Structured Argumentative DialoguesIn International Conference on Principles of Knowledge Representation and Reasoning (KR), 2024
- JAIRA Logic-based Explanation Generation Framework for Classical and Hybrid Planning ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
- AAAIOn Exploiting Hitting Sets For Model ReconciliationIn Association for the Advancement of Artificial Intelligence (AAAI), 2021