TY - GEN
T1 - Time Model for the WellProdSim Agent-Based Social Simulator
AU - Serrano, Jairo E.
AU - Rivera, Miguel A.
AU - González, Enrique
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - This paper focuses on the development of the time control model and its relationship with other agents in the WellProdSim Social Simulator, which assesses the productivity and welfare of peasant families. The simulator adopts an event-driven approach with high concurrency and integrates Belief-Desire-Intention (BDI) reasoning for realistic representation of cognitive processes and decision-making among peasant families. Furthermore, it features a heterogeneous time management system, allowing for diverse time scales and dynamics that account for various time-sensitive factors influencing peasant families’ well-being, such as seasonal changes and socio-economic events. Preliminary results demonstrate high-quality simulations, closely resembling real-world scenarios, and provide valuable insights into the lives and challenges faced by peasant families. Additionally, the study identifies areas with potential for improvement, setting the stage for future enhancements and refinements to the simulator. By incorporating event-driven processes, BDI reasoning, and heterogeneous time management, the WellProdSim Social Simulator offers a robust and realistic reading of peasant families’ productivity and well-being, with promising prospects for further advancements to improve its effectiveness.
AB - This paper focuses on the development of the time control model and its relationship with other agents in the WellProdSim Social Simulator, which assesses the productivity and welfare of peasant families. The simulator adopts an event-driven approach with high concurrency and integrates Belief-Desire-Intention (BDI) reasoning for realistic representation of cognitive processes and decision-making among peasant families. Furthermore, it features a heterogeneous time management system, allowing for diverse time scales and dynamics that account for various time-sensitive factors influencing peasant families’ well-being, such as seasonal changes and socio-economic events. Preliminary results demonstrate high-quality simulations, closely resembling real-world scenarios, and provide valuable insights into the lives and challenges faced by peasant families. Additionally, the study identifies areas with potential for improvement, setting the stage for future enhancements and refinements to the simulator. By incorporating event-driven processes, BDI reasoning, and heterogeneous time management, the WellProdSim Social Simulator offers a robust and realistic reading of peasant families’ productivity and well-being, with promising prospects for further advancements to improve its effectiveness.
KW - Agent-Based Simulator
KW - Complex-environmental systems
KW - Multi-agent simulation
KW - Multi-agent systems
UR - http://www.scopus.com/inward/record.url?scp=85169041486&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-36357-3_11
DO - 10.1007/978-3-031-36357-3_11
M3 - Conference contribution
AN - SCOPUS:85169041486
SN - 9783031363566
T3 - Communications in Computer and Information Science
SP - 136
EP - 149
BT - Advances in Computing - 16th Colombian Congress, CCC 2022, Revised Selected Papers
A2 - Agredo-Delgado, Vanessa
A2 - Ruiz, Pablo H.
A2 - Agredo-Delgado, Vanessa
A2 - Ruiz, Pablo H.
A2 - Ruiz Gaona, Alexandra
A2 - Villegas Ramírez, María Lili
A2 - Giraldo Orozco, William Joseph
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th Colombian Congress of Computing, CCC 2022
Y2 - 17 October 2022 through 21 October 2022
ER -