An interactive environment for scientific model construction

Sánchez, Javier; Langley, Pat

doi:10.1145/945649.945666

Cited by 5 publications

(5 citation statements)

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“…Graphical representations are often combined with textual representations; the structure of the model is depicted by the graphical representation, but the details are filled out in the textual representation. Sanchez and Langley (2003) present an example of this hybrid modeling approach. The use of visualizations improves understandability by distinctively representing patterns that the modeler considers important.…”

Section: Presenting Multiple Visualizations Of Models and Model Outputsmentioning

confidence: 99%

Building Modeling Tools That Support Verification, Validation, and Testing for the Domain Expert

Allen¹,

Shaffer²,

Watson³

Proceedings of the Winter Simulation Conference, 2005.

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Successfully building a model requires a combination of expertise in the problem domain and in the practice of modeling and simulation (M&S). Model verification, validation, and testing (VV&T) are essential to the consistent production of models that are useful and correct. There are significant communities of domain experts that build and use models without employing dedicated modeling specialists. Current modeling tools relatively underserve these communities, particularly in the area of model testing and evaluation. This paper describes several techniques that modeling tools can use to support the domain expert in performing VV&T, and discusses the advantages and disadvantages of this approach to modeling.

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Section: Presenting Multiple Visualizations Of Models and Model Outputsmentioning

confidence: 99%

Building Modeling Tools That Support Verification, Validation, and Testing for the Domain Expert

Allen¹,

Shaffer²,

Watson³

Proceedings of the Winter Simulation Conference, 2005.

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show abstract

“…Codex also builds on online scientific workbenches (e.g., Stevens et al, 2003) that emphasize data integration for automated analysis; Codex treats problem-solving as an issue of human consideration and interpretation. Typical scientific problem-solving environments might integrate several analysis tools to support hypothesis generation (Sanchez and Langley, 2003), but fail to capture the knowledge embedded in the manipulation of resources. Fig.…”

Section: Implementing a Situated Knowledge Modelmentioning

confidence: 99%

Beyond ontologies: Toward situated representations of scientific knowledge

Pike

Gahegan

2007

International Journal of Human-Computer Studies

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“…To encourage the process modeling approach, we are developing a software environment called Prometheus that is designed to support model building from conceptual development to evaluation, use, and publication (Sánchez and Langley, 2003). This program has six principal features.…”

Section: Prometheusmentioning

confidence: 99%

A method for representing and developing process models

Borrett

Bridewell

Langley

et al. 2007

Ecological Complexity

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Scientists investigate the dynamics of complex systems with quantitative models, employing them to synthesize knowledge, to explain observations, and to forecast future system behavior. Complete specification of systems is impossible, so models must be simplified abstractions. Thus, the art of modeling involves deciding which system elements to include and determining how they should be represented. We view modeling as search through a space of candidate models that is guided by model objectives, theoretical knowledge, and empirical data. In this contribution, we introduce a method for representing process-based models that facilitates the discovery of models that explain observed behavior. This representation casts dynamic systems as interacting sets of processes that act on entities. Using this approach, a modeler first encodes relevant ecological knowledge into a library of generic entities and processes, then instantiates these theoretical components, and finally assembles candidate models from these elements. We illustrate this methodology with a model of the Ross Sea ecosystem.

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An interactive environment for scientific model construction

Cited by 5 publications

References 0 publications

Building Modeling Tools That Support Verification, Validation, and Testing for the Domain Expert

Building Modeling Tools That Support Verification, Validation, and Testing for the Domain Expert

Beyond ontologies: Toward situated representations of scientific knowledge

A method for representing and developing process models

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