[2603.21846] Agentic Personas for Adaptive Scientific Explanations with Knowledge Graphs

Computer Science > Artificial Intelligence arXiv:2603.21846 (cs) [Submitted on 23 Mar 2026] Title:Agentic Personas for Adaptive Scientific Explanations with Knowledge Graphs Authors:Susana Nunes, Tiago Guerreiro, Catia Pesquita View a PDF of the paper titled Agentic Personas for Adaptive Scientific Explanations with Knowledge Graphs, by Susana Nunes and 2 other authors View PDF HTML (experimental) Abstract:AI explanation methods often assume a static user model, producing non-adaptive explanations regardless of expert goals, reasoning strategies, or decision contexts. Knowledge graph-based explanations, despite their capacity for grounded, path-based reasoning, inherit this limitation. In complex domains such as scientific discovery, this assumption fails to capture the diversity of cognitive strategies and epistemic stances among experts, preventing explanations that foster deeper understanding and informed decision-making. However, the scarcity of human experts limits the use of direct human feedback to produce adaptive explanations. We present a reinforcement learning approach for scientific explanation generation that incorporates agentic personas, structured representations of expert reasoning strategies, that guide the explanation agent towards specific epistemic preferences. In an evaluation of knowledge graph-based explanations for drug discovery, we tested two personas that capture distinct epistemic stances derived from expert feedback. Results show that persona-...