TY - GEN
T1 - Emotional BDI Model (eBDI) of the Peasants Families WellProdSim Social Simulator
AU - Serrano, Jairo E.
AU - González, Enrique
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This paper describes the emotional model eBDI developed for the BDI agents implemented in WellProdSim, a social simulator designed to assess and improve the productivity and well-being of peasant families. Overcoming some of the limitations of previous models, this innovative approach incorporates complex emotional dynamics into the representation of peasant families, allowing to obtain a more realistic adaptation and response to environmental and social changes of the simulated human agents. The key idea resides in the integration of emotions influenced by external factors into the deliberation process of the BDI system. The agent’s emotional state impacts on the estimation of the contribution and activation values of each of the agent’s potential goals; thus, it directly influences the desires management in the BDI engine, enriching the decision-making process and improving the simulation of social and economic interactions. Results demonstrate the effectiveness of the model, providing simulations that more accurately reflect the complexity of human behavior and social dynamics in rural communities.
AB - This paper describes the emotional model eBDI developed for the BDI agents implemented in WellProdSim, a social simulator designed to assess and improve the productivity and well-being of peasant families. Overcoming some of the limitations of previous models, this innovative approach incorporates complex emotional dynamics into the representation of peasant families, allowing to obtain a more realistic adaptation and response to environmental and social changes of the simulated human agents. The key idea resides in the integration of emotions influenced by external factors into the deliberation process of the BDI system. The agent’s emotional state impacts on the estimation of the contribution and activation values of each of the agent’s potential goals; thus, it directly influences the desires management in the BDI engine, enriching the decision-making process and improving the simulation of social and economic interactions. Results demonstrate the effectiveness of the model, providing simulations that more accurately reflect the complexity of human behavior and social dynamics in rural communities.
KW - BDI agent
KW - Emotional BDI
KW - Fuzzy Logic
KW - Multi-agent simulation
KW - Multi-agent systems
KW - Social Simulation
UR - http://www.scopus.com/inward/record.url?scp=85214116673&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-75233-9_8
DO - 10.1007/978-3-031-75233-9_8
M3 - Conference contribution
AN - SCOPUS:85214116673
SN - 9783031752322
T3 - Communications in Computer and Information Science
SP - 99
EP - 114
BT - Advances in Computing - 18th Colombian Conference on Computing, CCC 2024, Revised Selected Papers
A2 - Duque-Méndez, Néstor Darío
A2 - Aristizábal-Quintero, Luz Ángela
A2 - Orozco-Alzate, Mauricio
A2 - Aguilar, Jose
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th Colombian Conference on Computing, CCC 2024
Y2 - 4 September 2024 through 6 September 2024
ER -