Title :
The Application of Multi-paradigm Modeling in Social Computation
Author :
Bin Chen ; Gang Guo ; Xiaogang Qiu
Author_Institution :
Res. Centre of Mil. Comput. Experiments & Parallel Syst. Technol., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Recently, the research on irregular emergent events management had become the hot field in complex system modeling and simulation. In order to solve the social computation in irregular emergent events, A-C-P (Artificial Society, Computational Experiments, Parallel Execution) is the best solution. We bring the multi-paradigm modeling theory to the modeling and simulation for artificial society. Model transformation is used to cover the multi-field in artificial society, Co-simulation is used to connect the heterogeneous system in computation experiments. We give the Multi-Paradigm Modeling based computation experiment framework. The advantages of the application are summarized in the end.
Keywords :
artificial intelligence; social sciences computing; A-C-P technique; artificial society; computational experiment; irregular emergent events management; model transformation; multiparadigm modeling; parallel execution; social computation; Automation; Manufacturing; A-C-P Technique; Co-Simulation; Model Transformation; Multi-Paradigm Modeling;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.333