Ayslan Trevizan Possebom

Instituto Federal de Educação Ciência e Tecnologia do Paraná

Papers

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About

Ayslan Trevizan Possebom is a researcher at the forefront of Explainable Artificial Intelligence (XAI) and multi-agent systems. His primary research focuses on developing intelligent agents that can not only make decisions but also transparently explain their internal reasoning processes to human users. In his most-cited work, "Argumentation-Based Agents that Explain Their Decisions" (2019, 8 citations), Possebom extends the classic Belief-Desire-Intention (BDI) agent architecture to incorporate argumentation-based explanations. This foundational contribution addresses a critical challenge in AI: bridging the gap between complex autonomous decision-making and human interpretability. By enabling agents to articulate why they chose a particular course of action, his work directly supports the growing demand for trustworthy and accountable AI systems. Possebom’s research is particularly valuable for students and practitioners in AI ethics, human-computer interaction, and autonomous systems, as it provides a practical framework for building agents that are both powerful and comprehensible. His contributions are helping to shape a future where AI systems can collaborate more effectively with humans by being transparent partners rather than black-box decision-makers.