Stylianos Loukas Vasileiou

My current research agenda focuses on developing human-aware AI systems that can:
  • Engage in collaborative problem-solving with human users.
  • Provide natural and intuitive explanations for their decisions and behaviors.
  • Dynamically update their world models through interactions with users and the environment.
  • Infer and adapt to evolving users' (mental) models, such as their knowledge, beliefs, and goals.
To achieve this, I draw techniques from the realms of formal logic, planning, argumentation, belief revision, machine learning, as well as philosophy, cognitive science, and psychology. Ultimately, I aim to create AI systems that can seamlessly integrate into various real-world scenarios, paving the way for more intuitive, efficient, and trustworthy human-AI collaborative intelligence.



project thumbnail

model reconciliation

selected publications

  1. AAAI
    Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
    Yinxu Tang , Stylianos Loukas Vasileiou , and William Yeoh
    In Association for the Advancement of Artificial Intelligence (AAAI) , 2025
  2. KR
    Dialectical Reconciliation via Structured Argumentative Dialogues
    Stylianos Loukas Vasileiou , Ashwin Kumar , William Yeoh , and 2 more authors
    In International Conference on Principles of Knowledge Representation and Reasoning (KR) , 2024
    PDF
  3. JAIR
    A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems
    Stylianos Loukas Vasileiou , William Yeoh , Tran Cao Son , and 3 more authors
    Journal of Artificial Intelligence Research (JAIR), 2022
    PDF
  4. AAAI
    On Exploiting Hitting Sets For Model Reconciliation
    Stylianos Loukas Vasileiou , Alessandro Previti , and William Yeoh
    In Association for the Advancement of Artificial Intelligence (AAAI) , 2021
    PDF