Salvatore Lopes

Institute for High Performance Computing and Networking

Papers

Total Citations

H-Index

About

Salvatore Lopes is a researcher in the field of multi-agent systems (MAS), with a particular focus on agent-oriented software engineering and the modeling of Belief-Desire-Intention (BDI) architectures. His most cited work, "A Notation for Modeling Jason-Like BDI Agents" (2012), addresses the critical challenge of designing and developing large-scale MAS by proposing a dedicated modeling notation. This contribution aims to reduce the inherent complexity of agent-based system development, offering a structured approach that can be supported by CASE tools to improve the formulation of robust solutions. While his citation count is modest, with the paper accumulating 8 citations, Lopes’ work is significant for practitioners seeking to bridge the gap between abstract agent concepts and practical implementation in platforms like Jason. His research underscores the importance of formalized design processes in advancing the reliability and scalability of multi-agent systems, making his contributions valuable for students and researchers exploring agent-oriented methodologies.