TY - CHAP
T1 - From Natural Language to Executable Models. How ChatGPT Writes a System Dynamics Model
AU - Campuzano-Bolarín, Francisco
AU - López-López, David
AU - Martín-García, Juan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/12
Y1 - 2025/12
N2 - The process of creating a simulation model, in particular using the System Dynamics methodology, is a complex and time-intensive task. It begins with a clear understanding of the problem, followed by the identification of key variables, and culminates in the construction of a Stock and Flow Diagram (SFD). Traditionally, this process has been laborious, requiring significant manual effort to translate a conceptual understanding into a functional model. With the advent of advanced AI tools like ChatGPT, this process can be significantly streamlined.
AB - The process of creating a simulation model, in particular using the System Dynamics methodology, is a complex and time-intensive task. It begins with a clear understanding of the problem, followed by the identification of key variables, and culminates in the construction of a Stock and Flow Diagram (SFD). Traditionally, this process has been laborious, requiring significant manual effort to translate a conceptual understanding into a functional model. With the advent of advanced AI tools like ChatGPT, this process can be significantly streamlined.
KW - Artificial intelligence
KW - ChatGPT
KW - Modeling
KW - System Dynamics
KW - Vensim
UR - https://www.scopus.com/pages/publications/105026954298
U2 - 10.1007/978-3-032-10126-6_32
DO - 10.1007/978-3-032-10126-6_32
M3 - Chapter
AN - SCOPUS:105026954298
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 199
EP - 204
BT - Data Science, Challenges and Applications in Industrial Operations
A2 - Barbadilla-Martín, Elena
A2 - Robles-Velasco, Alicia
A2 - Rodríguez-Palero, María
A2 - Cortés, Pablo
PB - Springer Science and Business Media Deutschland GmbH
ER -