TY - GEN
T1 - From Console to Dashboard
T2 - 23rd International Conference on Practical applications of Agents and Multi-Agent Systems, PAAMS 2025
AU - E. Serrano, Jairo
AU - D. Vizcaino-Rio, Adrian
AU - A. Donado-Canedo, Mauricio
AU - F. García-Teheran, Andrés
AU - L. Tobio Florez, Samuel
AU - González, Enrique
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2025/11/23
Y1 - 2025/11/23
N2 - This paper presents a real-time visualization solution for the multi-agent simulator WellProdSim, designed to analyze social well-being and productivity in rural Colombian communities. Originally, the WellProdSim social simulator was designed as a tool for academic researchers; now, it also features a user-friendly interface for administrative and policy makers users. The new system includes a Java-based simulation engine, implemented in the BESA multiagent framework, running as a standalone executable program without external dependencies, and a graphical interface built with ElectronJS and Next.js. A WebSocket channel enables synchronous transmission of key data, such as health and productivity parameters and emotional scales. It also records historical data in CSV format for detailed statistical analysis. This modular, scalable approach supports dynamic parameter configuration, interactive geographical referenced maps and the display of indicator charts, and sets the stage for integrating BDI-based emotional agents, enhancing the process of decision-making based on simulations of complex socioeconomic contexts.
AB - This paper presents a real-time visualization solution for the multi-agent simulator WellProdSim, designed to analyze social well-being and productivity in rural Colombian communities. Originally, the WellProdSim social simulator was designed as a tool for academic researchers; now, it also features a user-friendly interface for administrative and policy makers users. The new system includes a Java-based simulation engine, implemented in the BESA multiagent framework, running as a standalone executable program without external dependencies, and a graphical interface built with ElectronJS and Next.js. A WebSocket channel enables synchronous transmission of key data, such as health and productivity parameters and emotional scales. It also records historical data in CSV format for detailed statistical analysis. This modular, scalable approach supports dynamic parameter configuration, interactive geographical referenced maps and the display of indicator charts, and sets the stage for integrating BDI-based emotional agents, enhancing the process of decision-making based on simulations of complex socioeconomic contexts.
KW - BDI and EBDI Models
KW - BESA Architecture
KW - ElectronJS
KW - Multi-Agent Systems
KW - Policy-Oriented Simulation
KW - Real-Time Visualization
KW - Rural Simulation
UR - https://www.scopus.com/pages/publications/105023274545
UR - https://www.mendeley.com/catalogue/95714df5-e7d7-356a-a6b8-3cd64e6eb963/
U2 - 10.1007/978-3-032-07638-0_35
DO - 10.1007/978-3-032-07638-0_35
M3 - Conference contribution
AN - SCOPUS:105023274545
SN - 9783032076373
T3 - Lecture Notes in Computer Science
SP - 384
EP - 389
BT - Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science
A2 - Mathieu, Philippe
A2 - De la Prieta, Fernando
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 25 June 2025 through 27 June 2025
ER -