TY - GEN
T1 - Simulation framework for self-evolving agent-based models
T2 - 2018 Winter Simulation Conference, WSC 2018
AU - Bae, Jang Won
AU - Paik, Euihyun
AU - Dongoh, Kang
AU - Jung, Junyoung
AU - Lee, Chun Hee
N1 - Publisher Copyright:
© 2018 IEEE
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Agent-based modeling and simulation (ABMS) has been applied to various domain problems. ABM consists of multiple agents and environments and focuses on their interactions. While such characteristics lead to its current popularity, they partially makes hard for the model calibration. Model calibration is generally performed by tuning model parameters, but in the ABM case, its interaction structure should be considered as well due to its huge influences to the results. To resolve this problem, this paper suggests a self-evolving ABMS framework. During the self-evolving process, ABM structure as well as parameters are explored and exploited for the model calibration. In particular, we adopt reconfigurable modeling in the proposed simulation framework, which is derived from Discrete Event System Specification (DEVS) formalism. This paper introduces a housing ABM, and the case study using this model shows that the accuracy of the model prediction was significantly increased through the self-evolving process.
AB - Agent-based modeling and simulation (ABMS) has been applied to various domain problems. ABM consists of multiple agents and environments and focuses on their interactions. While such characteristics lead to its current popularity, they partially makes hard for the model calibration. Model calibration is generally performed by tuning model parameters, but in the ABM case, its interaction structure should be considered as well due to its huge influences to the results. To resolve this problem, this paper suggests a self-evolving ABMS framework. During the self-evolving process, ABM structure as well as parameters are explored and exploited for the model calibration. In particular, we adopt reconfigurable modeling in the proposed simulation framework, which is derived from Discrete Event System Specification (DEVS) formalism. This paper introduces a housing ABM, and the case study using this model shows that the accuracy of the model prediction was significantly increased through the self-evolving process.
UR - http://www.scopus.com/inward/record.url?scp=85062630100&partnerID=8YFLogxK
U2 - 10.1109/WSC.2018.8632276
DO - 10.1109/WSC.2018.8632276
M3 - Conference contribution
AN - SCOPUS:85062630100
T3 - Proceedings - Winter Simulation Conference
SP - 1120
EP - 1131
BT - WSC 2018 - 2018 Winter Simulation Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2018 through 12 December 2018
ER -