The Model Description Language (MDL)

Author(s):  
Takaaki Yagiu
2000 ◽  
Vol 12 (5) ◽  
pp. 995-1007 ◽  
Author(s):  
M. L. Hines ◽  
N. T. Carnevale

Neuronal function involves the interaction of electrical and chemical signals that are distributed in time and space. The mechanisms that generate these signals and regulate their interactions are marked by a rich diversity of properties that precludes a “one size fits all” approach to modeling. This article presents a summary of how the model description language NMODL enables the neuronal simulation environment NEURON to accommodate these differences.


SIMULATION ◽  
2003 ◽  
Vol 79 (12) ◽  
pp. 740-747 ◽  
Author(s):  
Autumn A. Cuellar ◽  
Catherine M. Lloyd ◽  
Poul F. Nielsen ◽  
David P. Bullivant ◽  
David P. Nickerson ◽  
...  

2011 ◽  
Vol 268-270 ◽  
pp. 1086-1091
Author(s):  
Yu Hua Wang ◽  
Gui Sheng Yin ◽  
Hai Tao Zhang

In the process of requirements modeling based on ontology, the obtained model description is based on application ontology; which is not easy for designer to understand and cannot be converted into requirements specification documents for design. UML is actual standard for object-oriented modeling. For this issue, this paper creates the UML meta-model, and establishes mapping rules description language for application ontology to UML meta-element, which implements the generation of UML class diagrams based on rule, use case diagrams, state transition diagram models and requirements specification documents based on UML.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Jennifer Haase ◽  
Christof Thim

This paper aims to investigate the possibility to include aspects of forgetting into business process modeling. To date, there is no possibility to model forgotten or to-be- forgotten elements beyond the mere deletion. On a first attempt, we focus on the individual level and model knowledge transformation within a single person. Using the Knowledge Model Description Language, we propose ways to include different forms of forgetting into the realm of modeling tools. Using data from an experimental setting within an assembly line production environment, the usability of those new modeling tools is tested. So far, the applicability of modeling features for forgetting on the individual level is mostly restricted to a research context. However, clear requirements to transfer the tools onto the team- and organizational level are set out.


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