Angelo Maria Pio Sabella
Papers
1
Total Citations
3
H-Index
1
About
Angelo Maria Pio Sabella is a researcher in artificial intelligence, with a focus on multi-agent systems, cognitive architectures, and human-agent interaction. His work explores how autonomous agents can reason about their own internal states and communicate that reasoning to others, bridging the gap between introspection and social interaction. In his most cited paper, "Agent talks about itself: an implementation using Jason, CArtAgO and Speech Acts" (2023, 3 citations), Sabella investigates the concept of agents engaging in self-talk—a process inspired by human cognition where agents verbalize their decision-making to enhance transparency and collaboration. This contribution is notable for its practical implementation using established frameworks, offering a foundation for more explainable and trustworthy AI systems. Though early in his career, Sabella's work is gaining recognition for its innovative approach to making agent reasoning visible and understandable, with potential applications in robotics, virtual assistants, and human-robot teamwork. His research promises to shape how future AI systems communicate their inner workings.
Research Focus
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Top Papers
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