Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems

Teose, Maarika; Ahmadizadeh, Kiyan; O&apos;Mahony, Eoin; Smith, Rebecca L.; Lu, Zhao; Ellner, Stephen P.; Gomes, Carla P.; Gröhn, Yrjö T.

doi:10.5591/978-1-57735-516-8/IJCAI11-421

Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems

Maarika Teose, Kiyan Ahmadizadeh, Eoin O'Mahony, Rebecca L. Smith, Zhao Lu, Stephen P. Ellner, Carla P. Gomes, Yrjö T. Gröhn

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2531-2537.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-421

Abstract

Complex adaptive systems (CAS) are composed of interacting agents, exhibit nonlinear properties such as positive and negative feedback, and tend to produce emergent behavior that cannot be wholly explained by deconstructing the system into its constituent parts. Both system dynamics (equation-based) approaches and agent-based approaches have been used to model such systems, and each has its benefits and drawbacks. In this paper, we introduce a class of agent-based models with an embedded system dynamics model, and detail the semantics of a simulation framework for these models. This model definition, along with the simulation framework, combines agent-based and system dynamics approaches in a way that retains the strengths of both paradigms. We show the applicability of our model by instantiating it for two example complex adaptive systems in the field of Computational Sustainability, drawn from ecology and epidemiology. We then present a more detailed application in epidemiology, in which we compare a previously unstudied intervention strategy to established ones. Our experimental results, unattainable using previous methods, yield insight into the effectiveness of these intervention strategies.

Maarika Teose, Kiyan Ahmadizadeh, Eoin O'Mahony, Rebecca L. Smith, Zhao Lu, Stephen P. Ellner, Carla P. Gomes, and Yrjö T. Gröhn. 2011. Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2531–2537. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-421

@inproceedings{ijcai2011p421,
  title     = {Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems},
  author    = {Teose, Maarika and Ahmadizadeh, Kiyan and O&apos;Mahony, Eoin and Smith, Rebecca L. and Lu, Zhao and Ellner, Stephen P. and Gomes, Carla P. and Gröhn, Yrjö T.},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2531--2537},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-421},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-421},
}

TY  - CPAPER
TI  - Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems
AU  - Teose, Maarika
AU  - Ahmadizadeh, Kiyan
AU  - O&apos;Mahony, Eoin
AU  - Smith, Rebecca L.
AU  - Lu, Zhao
AU  - Ellner, Stephen P.
AU  - Gomes, Carla P.
AU  - Gröhn, Yrjö T.
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2531
EP  - 2537
DO  - 10.5591/978-1-57735-516-8/IJCAI11-421
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-421
ER  -