Influence of Organizational Learning for Multi-Agent Simulation based on an Adaptive Classifier System

2013 ◽  
Vol 133 (9) ◽  
pp. 1752-1761 ◽  
Author(s):  
Mhd Irvan ◽  
Takashi Yamada ◽  
Takao Terano
Procedia CIRP ◽  
2019 ◽  
Vol 79 ◽  
pp. 673-678
Author(s):  
António Oliveira Nzinga René ◽  
Takashi Tanizaki ◽  
Takeshi Shimmura ◽  
Nobutada Fujii ◽  
Takeshi Takenaka

2015 ◽  
Vol 51 ◽  
pp. 522-531 ◽  
Author(s):  
Nikolay Butakov ◽  
Denis Nasonov ◽  
Konstantin Knyazkov ◽  
Vladislav Karbovskii ◽  
Yulia Chuprova

Author(s):  
Yohei Murakami ◽  
Toru Ishida ◽  
Tomoyuki Kawasoe ◽  
Reiko Hishiyama

2014 ◽  
Vol 926-930 ◽  
pp. 3842-3845
Author(s):  
Xian Ling Deng ◽  
Kang Cheng ◽  
Bai Shu Sun

Aiming at the urgent requirement and characteristics of the road design process, this paper presents multi agent simulation approach to manage and optimize road design process effectively. Tasks decompose and management model for road design process based on multi agent were studied firstly. Road design process modeling and simulation based on multi agent were realized next. By the simulation, further optimization analysis to improve the road design process was carried out by rearranging tasks flow and organization structure. A real road design process was simulated, and the results showed the simulation evaluation indexes could effectively reflect the process performance.


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