Rafael de O. Jannone

Universidade Federal do Rio Grande do Sul

Papers

Total Citations

109

H-Index

About

Rafael de O. Jannone is a computer scientist specializing in intelligent agents and multi-agent systems, with a particular focus on the Belief-Desire-Intention (BDI) architecture. His most significant contribution lies in advancing the practical efficiency of BDI agent-oriented programming languages, most notably through his work on AgentSpeak(XL). In his highly cited 2002 paper (92 citations), Jannone introduced a decision-theoretic task scheduler that automatically generates optimal intention selection functions, solving a critical bottleneck in autonomous agent reasoning. This work directly extended the foundational AgentSpeak(L) language, enabling agents to dynamically prioritize goals based on expected utility rather than relying on static, hand-coded heuristics. His follow-up paper (17 citations) further refined this approach, demonstrating how computational efficiency can be achieved without sacrificing the theoretical elegance of BDI semantics. Jannone’s research bridges the gap between formal agent theory and real-world deployment, making autonomous systems more adaptive and resource-aware. His contributions remain influential in fields such as robotics, game AI, and distributed decision-making, where agents must manage multiple competing intentions under time constraints.