Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain

Santos, Fernando dos; Nunes, Ingrid; Bazzan, Ana L. C.

doi:10.1016/j.simpat.2017.11.006

Cited by 22 publications

(20 citation statements)

References 33 publications

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“…However, ODD is not formal enough for a direct transformation. Still, we argue that instead of creating our DSL from scratch, using the methodologies proposed by [5,11,21], we can take advantage of the accumulated experience of researchers that the ODD incorporates and formalise it (i.e. we make the descriptions already in ODD more formal).…”

Section: Methodsmentioning

confidence: 99%

“…ABMs offer unique capabilities and are widely used by a growing number of scientists and policy professionals [5,10,11,21]. One of the prominent applications of ABMs is in social simulations.…”

Section: Supported By the University Of Agdermentioning

confidence: 99%

“…These teams face several challenges. First of all, communication of the conceptual model among such diverse researchers can be difficult [11,21,23]. Since the product of each development step depends on the individual conceptual understanding, even with the same thematician, different teams may come up with dissimilar simulation models.…”

Section: Supported By the University Of Agdermentioning

confidence: 99%

“…MDA4ABMS merges both DSL and MDD methodologies, but the user needs some modelling experience to handle the high-level language, and the tool does not automatically provide the lowlevel language artefact [4]. Also, the inclusion of UML (Unified Modelling Language) [18], which is applied in the methodology, has often been discarded by other researchers due to its lack of expressiveness [21]. Similarly, the easyABMS methodology includes UML and does not provide automatic code generation but takes into account all the modelling and simulation phases and can be used for general processes [5].…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, the easyABMS methodology includes UML and does not provide automatic code generation but takes into account all the modelling and simulation phases and can be used for general processes [5]. The meta-model introduced by Santos et al [21] automatically generates code, and has been evaluated as very efficient; however, it only functions for a particular domain. Finally, adaptations of Multi-Agent methodologies to Agent-Based have been able to establish a common high-level formal language, but these do not include automatic code generation [11].…”

Section: Related Workmentioning

confidence: 99%

See 4 more Smart Citations

Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

Xanthopoulou

Prinz

Shults

2019

Lecture Notes in Computer Science

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Agent-Based Modelling has been used for social simulation because of the several benefits it entails, including the capacity to improve conceptual clarity, enhance scientific understanding of complex phenomena, and contribute policy-relevant insights through simulation experiments. Social models are often constructed by inter-disciplinary teams that include subject-matter experts with no programming skills. These experts are typically involved in the creation of the conceptual model, but not the verification or validation of the simulation model. The Overview, Design concepts, and Details (ODD) protocol has emerged as a way of presenting a model at a high level of abstraction and as an effort towards reproducibility of Agent Based Models (ABMs). However, this popular protocol does not improve the involvement of experts because it is typically written after a model has been completed. This paper reverses the process and provides non-programming experts with a user-friendly and extensible tool called ODD2ABM for creating and altering models on their own. This is done by formalizing ODD using concepts abstracted from the NetLogo language, enabling users to generate NetLogo code from an ODD description automatically. We verified the ODD2ABM tool with three existing NetLogo models and assessed it with criteria developed by other researchers.

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Section: Methodsmentioning

confidence: 99%

Section: Supported By the University Of Agdermentioning

confidence: 99%

Section: Supported By the University Of Agdermentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

Xanthopoulou

Prinz

Shults

2019

Lecture Notes in Computer Science

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A Methodology for DSML-Assisted Participatory Agent-Based Enterprise Modelling

Godfrey

Batra

Douthwaite

et al. 2022

Lecture Notes in Business Information Processing

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Trustworthy agent-based simulation: the case for domain-specific modelling languages

Zschaler

Polack

2023

Softw Syst Model

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Simulation is a key tool for researching complex system behaviour. Agent-based simulation has been applied across domains, such as biology, health, economics and urban sciences. However, engineering robust, efficient, maintainable, and reliable agent-based simulations is challenging. We present a vision for engineering agent simulations comprising a family of domain-specific modelling languages (DSMLs) that integrates core software engineering, validation and simulation experimentation. We relate the vision to examples of principled simulation, to show how the DSMLs would improve robustness, efficiency, and maintainability of simulations. Focusing on how to demonstrate the fitness for purpose of a simulator, the envisaged approach supports bi-directional transparency and traceability between the original domain understanding to the implementation, interpretation of results and evaluation of hypotheses.

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Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain

Cited by 22 publications

References 33 publications

Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

A Methodology for DSML-Assisted Participatory Agent-Based Enterprise Modelling

Trustworthy agent-based simulation: the case for domain-specific modelling languages

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