XMILE: a new standard for system dynamics

Eberlein, Robert; Chichakly, Karim J.

doi:10.1002/sdr.1504

Cited by 11 publications

(7 citation statements)

References 4 publications

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“…There is not, however, heterogeneity within each entity as in ABM, nor spatial representation, as Batty reminds us [21]. DS was introduced in the 1970s [114] and has accumulated many applications and supporting technologies since then [115]. Even though DS and ABM share some characteristics, they also have important, fundamental, differences [116].…”

Section: Other Policy Methodologiesmentioning

confidence: 99%

Policy Modeling and Applications: State‐of‐the‐Art and Perspectives

2019

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The range of application of methodologies of complexity science, interdisciplinary by nature, has spread even more broadly across disciplines after the dawn of this century. Specifically, applications to public policy and corporate strategies have proliferated in tandem. This paper reviews the most used complex systems methodologies with an emphasis on public policy. We briefly present examples, pros, and cons of agent-based modeling, network models, dynamical systems, data mining, and evolutionary game theory. Further, we illustrate some specific experiences of large applied projects in macroeconomics, urban systems, and infrastructure planning. We argue that agent-based modeling has established itself as a strong tool within scientific realm. However, adoption by policy-makers is still scarce. Considering the huge amount of exemplary, successful applications of complexity science across the most varied disciplines, we believe policy is ready to become an actual field of detailed and useful applications.

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Section: Other Policy Methodologiesmentioning

confidence: 99%

Policy Modeling and Applications: State‐of‐the‐Art and Perspectives

2019

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“…Another example is Duggan [42], which introduced a method for integration optimization in an agent-oriented SD framework in the context of supply chain management. The language used for this work is XMILE [43].…”

Section: A Hybrid Dynamic Simulation For Produced Water Managementmentioning

confidence: 99%

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

et al. 2021

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This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management (PWM). In southeastern New Mexico, the oil and gas industry generates large volumes of produced water, while at the same time, freshwater resources are scarce. Single-method models are unable to capture the dynamic impacts of PWM on the water budget at both the local and regional levels, hence the need for a more complex hybrid approach. We used the literature, information characterizing produced water in New Mexico, and our preliminary interviews with subject matter experts to develop this framework. We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques. Our research revealed that there is a small but growing volume of hybrid modeling research that could provide some foundational support for modelers interested in hybrid modeling approaches for complex natural resource management issues. We categorized these efforts into four classes based on their approaches to hybrid modeling. It appears that, among these classes, PWM requires the most sophisticated approach, indicating that PWM modelers will need to face serious challenges and break new ground in this realm.

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“…In cases of massive precomputed or mea sured datasets, the "simulation" activity can be replaced with statis tical sampling of that primary dataset to create a subset requested for visualization. As a proof-of-principle for this simulation-visualization system, we have implemented a general purpose simulation for system dy namics (SD) models serialized in the standard XMILE format [3]. The system dynamics (SD) simulation methodology, which empha sizes the representation of time-varying phenomena that involve internal feedbacks and responses to external influences, is well suited for interactive visual exploration.…”

Section: Visualization-driven Simulationmentioning

confidence: 99%

Simulation exploration through immersive parallel planes

Brunhart-Lupo

Bush

Gruchalla

et al. 2016

2016 Workshop on Immersive Analytics (IA)

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We present a visualization-driven simulation system that tightly couples systems dynamics simulations with an immersive virtual environment to allow analysts to rapidly develop and test hypothe ses in a high-dimensional parameter space. To accomplish this, we generalize the two-dimensional parallel-coordinates statistical graphic as an immersive "parallel-planes" visualization for multi variate time series emitted by simulations running in parallel with the visualization. In contrast to traditional parallel coordinate's mapping the multivariate dimensions onto coordinate axes repre sented by a series of parallel lines, we map pairs of the multivariate dimensions onto a series of parallel rectangles. As in the case of parallel coordinates, each individual observation in the dataset is mapped to a polyline whose vertices coincide with its coordinate values. Regions of the rectangles can be "brushed" to highlight and select observations of interest: a "slider" control allows the user to filter the observations by their time coordinate. In an immersive virtual environment, users interact with the parallel planes using a joystick that can select regions on the planes, manipulate selection, and filter time. The brushing and selection actions are used to both explore existing data as well as to launch additional simulations cor responding to the visually selected portions of the input parameter space. As soon as the new simulations complete, their resulting ob servations are displayed in the virtual environment. This tight feed back loop between simulation and immersive analytics accelerates users' realization of insights about the simulation and its output.

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XMILE: a new standard for system dynamics

Cited by 11 publications

References 4 publications

Policy Modeling and Applications: State‐of‐the‐Art and Perspectives

Policy Modeling and Applications: State‐of‐the‐Art and Perspectives

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

Simulation exploration through immersive parallel planes

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