On the Expressiveness of Context-Sensitive Graph Grammars

2012 ◽  
Vol 23 (7) ◽  
pp. 1635-1655 ◽  
Author(s):  
Yang ZOU ◽  
Jian LÜ ◽  
Chun CAO ◽  
Hao HU ◽  
Wei SONG ◽  
...  
PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142776
Author(s):  
Yi Wang ◽  
XiaoQin Zeng ◽  
Han Ding

2009 ◽  
pp. 135-147 ◽  
Author(s):  
Yang Zou ◽  
Jian Lü ◽  
Xiaoqin Zeng ◽  
Xiaoxing Ma ◽  
Qiliang Yang

2019 ◽  
Vol 2019 (1) ◽  
pp. 15-28
Author(s):  
Yang Zou ◽  
Xiaoqin Zeng ◽  
Yufeng Liu ◽  
Huiyi Liu

Author(s):  
Felice Mancini ◽  
Daniel Grande ◽  
Pradeep Radhakrishnan

This paper explores the concept of an automated virtual lab in the area of system design and analysis. The project combines different research activities in automated design analysis using the graph grammar and tree search methods. In particular, a graph grammar rule-based system to automatically generate bond graphs for various systems is developed. This is combined with similar grammar based rules and search algorithms to provide automation as well as context sensitive feedback to users of the virtual lab. Examples will be demonstrated to showcase the potential as well as how the virtual lab can be scaled using appropriate learning algorithms towards personalizing education.


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