TY - GEN
T1 - World Model for the WellProdSim Agent-Based Social Simulator
AU - Rivera, Miguel A.
AU - Serrano, Jairo E.
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 presents the design, implementation, and testing of the WellProdSim world model, a comprehensive social simulator tailored for analyzing peasant families’ productivity and social well-being. It encompasses a land control module that facilitates crop growth simulation and accounts for social phenomena such as communication and cooperation within the social and productive context. Additionally, the simulator integrates geographical characteristics and climatic conditions of the region to ensure accurate representation of the environment. Plans are underway to incorporate a BDI (Belief-Desire-Intention) emotional agent module into the world model, which will represent peasants and other social actors, enhancing the simulator’s realism in portraying human decision-making processes. The world model has demonstrated success in 27 initial scenarios, utilizing real data from the Montes de Maria region in Colombia, thereby validating its effectiveness in capturing real-world conditions. By focusing on crucial elements such as land control, regional characteristics, and climatic conditions, the WellProdSim world model offers a valuable tool for understanding and addressing the unique challenges faced by peasant families.
AB - This paper presents the design, implementation, and testing of the WellProdSim world model, a comprehensive social simulator tailored for analyzing peasant families’ productivity and social well-being. It encompasses a land control module that facilitates crop growth simulation and accounts for social phenomena such as communication and cooperation within the social and productive context. Additionally, the simulator integrates geographical characteristics and climatic conditions of the region to ensure accurate representation of the environment. Plans are underway to incorporate a BDI (Belief-Desire-Intention) emotional agent module into the world model, which will represent peasants and other social actors, enhancing the simulator’s realism in portraying human decision-making processes. The world model has demonstrated success in 27 initial scenarios, utilizing real data from the Montes de Maria region in Colombia, thereby validating its effectiveness in capturing real-world conditions. By focusing on crucial elements such as land control, regional characteristics, and climatic conditions, the WellProdSim world model offers a valuable tool for understanding and addressing the unique challenges faced by peasant families.
KW - Agent-Based Simulator
KW - Complex-environmental systems
KW - Multi-agent simulation
KW - Multi-agent systems
UR - https://www.scopus.com/pages/publications/85169055125
U2 - 10.1007/978-3-031-36357-3_12
DO - 10.1007/978-3-031-36357-3_12
M3 - Conference contribution
AN - SCOPUS:85169055125
SN - 9783031363566
T3 - Communications in Computer and Information Science
SP - 150
EP - 163
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 -