activity
20202025
most citedOn the Relationship Between KR Approaches for Explainable Planning

3 citations · 5 across the 10 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.AI2024

A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs

Antonio Rago, Stylianos Loukas Vasileiou, Francesca Toni +2

Gradual semantics (GS) have demonstrated great potential in argumentation, in particular for deploying quantitative bipolar argumentation frameworks (QBAFs) in a number of real-wor…

cs.AI2024

TRACE-CS: A Hybrid Logic-LLM System for Explainable Course Scheduling

Stylianos Loukas Vasileiou, William Yeoh

We present TRACE-CS, a novel hybrid system that combines symbolic reasoning with large language models (LLMs)to address contrastive queries in course scheduling problems. TRACE-CS…

q-fin.ST2024★ 1 cited

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach

Andrew Estornell, Stylianos Loukas Vasileiou, William Yeoh +2

In today's competitive financial landscape, understanding and anticipating customer goals is crucial for institutions to deliver a personalized and optimized user experience. This…

cs.AI2024

Human-Aware Belief Revision: A Cognitively Inspired Framework for Explanation-Guided Revision of Human Models

Stylianos Loukas Vasileiou, William Yeoh

Traditional belief revision frameworks often rely on the principle of minimalism, which advocates minimal changes to existing beliefs. However, research in human cognition suggests…

cs.AI2024

On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios

Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti +1

Explanation generation frameworks aim to make AI systems' decisions transparent and understandable to human users. However, generating explanations in uncertain environments charac…

cs.RO2024

Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI

Silvia Tulli, Stylianos Loukas Vasileiou, Sarath Sreedharan

"Human-aware" has become a popular keyword used to describe a particular class of AI systems that are designed to work and interact with humans. While there exists a surprising lev…