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A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation. / Nava Guerrero, Graciela; Schwarz, Philipp; Slinger, Jill.

Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands. System Dynamics Society, 2016. P1153.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Nava Guerrero, G, Schwarz, P & Slinger, J 2016, A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation. in Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands., P1153, System Dynamics Society, 34th international conference of the system dynamics society, Delft, Netherlands, 17/07/16.

APA

Nava Guerrero, G., Schwarz, P., & Slinger, J. (2016). A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation. In Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands [P1153] System Dynamics Society.

Vancouver

Nava Guerrero G, Schwarz P, Slinger J. A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation. In Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands. System Dynamics Society. 2016. P1153

Author

Nava Guerrero, Graciela ; Schwarz, Philipp ; Slinger, Jill. / A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation. Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands. System Dynamics Society, 2016.

BibTeX

@inproceedings{f16c5dcae0f041cfa777c19069c3aa6a,
title = "A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation",
abstract = "Modelling and simulation aim to reproduce the structure and imitate the behavior of real-life systems. For complex dynamic systems, System Dynamics (SD) and Agent-based (AB) modelling are two widely used modelling paradigms that prior to the early 2010’s have traditionally been viewed as mutually exclusive alternatives. This literature review seeks to update the work of Scholl (2001) and Macal, (2010) by providing an overview of attempts to integrate SD and AB over the last ten years. First, the building blocks of both paradigms are presented. Second, their capabilities are contrasted, in order to explore how their integration can yield insights that cannot be generated with one methodology alone. Then, an overview is provided of recent work comparing the outcomes of both paradigms and specifying opportunities for integration. Finally, a critical reflection is presented. The literature review concludes that while paradigm emulation has contributed to expanding the applications of SD, it is the dynamic combination of the two approaches that has become the most promising research line. Integrating SD and AB, and even tools and methods from other disciplines, makes it possible to avoid their individual pitfalls and, hence, to exploit the full potential of their complementary characteristics, so as to provide a more complete representation of complex dynamic systems.",
keywords = "System Dynamics, Agent-based modeling, hybrid models, Complex dynamic systems, multi-paradigm approach, Literature Review",
author = "{Nava Guerrero}, Graciela and Philipp Schwarz and Jill Slinger",
year = "2016",
month = "8",
language = "English",
booktitle = "Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands",
publisher = "System Dynamics Society",

}

RIS

TY - GEN

T1 - A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation

AU - Nava Guerrero, Graciela

AU - Schwarz, Philipp

AU - Slinger, Jill

PY - 2016/8

Y1 - 2016/8

N2 - Modelling and simulation aim to reproduce the structure and imitate the behavior of real-life systems. For complex dynamic systems, System Dynamics (SD) and Agent-based (AB) modelling are two widely used modelling paradigms that prior to the early 2010’s have traditionally been viewed as mutually exclusive alternatives. This literature review seeks to update the work of Scholl (2001) and Macal, (2010) by providing an overview of attempts to integrate SD and AB over the last ten years. First, the building blocks of both paradigms are presented. Second, their capabilities are contrasted, in order to explore how their integration can yield insights that cannot be generated with one methodology alone. Then, an overview is provided of recent work comparing the outcomes of both paradigms and specifying opportunities for integration. Finally, a critical reflection is presented. The literature review concludes that while paradigm emulation has contributed to expanding the applications of SD, it is the dynamic combination of the two approaches that has become the most promising research line. Integrating SD and AB, and even tools and methods from other disciplines, makes it possible to avoid their individual pitfalls and, hence, to exploit the full potential of their complementary characteristics, so as to provide a more complete representation of complex dynamic systems.

AB - Modelling and simulation aim to reproduce the structure and imitate the behavior of real-life systems. For complex dynamic systems, System Dynamics (SD) and Agent-based (AB) modelling are two widely used modelling paradigms that prior to the early 2010’s have traditionally been viewed as mutually exclusive alternatives. This literature review seeks to update the work of Scholl (2001) and Macal, (2010) by providing an overview of attempts to integrate SD and AB over the last ten years. First, the building blocks of both paradigms are presented. Second, their capabilities are contrasted, in order to explore how their integration can yield insights that cannot be generated with one methodology alone. Then, an overview is provided of recent work comparing the outcomes of both paradigms and specifying opportunities for integration. Finally, a critical reflection is presented. The literature review concludes that while paradigm emulation has contributed to expanding the applications of SD, it is the dynamic combination of the two approaches that has become the most promising research line. Integrating SD and AB, and even tools and methods from other disciplines, makes it possible to avoid their individual pitfalls and, hence, to exploit the full potential of their complementary characteristics, so as to provide a more complete representation of complex dynamic systems.

KW - System Dynamics

KW - Agent-based modeling

KW - hybrid models

KW - Complex dynamic systems

KW - multi-paradigm approach

KW - Literature Review

UR - http://resolver.tudelft.nl/uuid:f16c5dca-e0f0-41cf-a777-c19069c3aa6a

M3 - Conference contribution

BT - Proceedings of the 34th International Conference of the System Dynamics Society, July 17-21, 2016 Delft, Netherlands

PB - System Dynamics Society

ER -

ID: 9621230