Title :
Self-organization simulation and output analysis
Author :
Lei, Zhang ; Shouju, Ren ; Zuzhao, Liu ; Wei, Wang
Author_Institution :
Tsinghua Univ., Beijing, China
Abstract :
A three-layer self-organization simulation framework is introduced, which could be regarded as the basic idea to simulate self-organizing behavior. Then, a complete self-organization simulation model is introduced in detail, which is enhanced by both machine learning and evolutionary algorithms from the AI area. To give an application perspective, a prototype system, called “SOS-PS” (Self-Organization Simulation in Partnership Selection) is proposed. Using the self-organization simulation model, the prototype system can give valuable decision support for complex partnership selection problems in virtual enterprises
Keywords :
business data processing; decision support systems; digital simulation; evolutionary computation; interconnected systems; learning (artificial intelligence); self-adjusting systems; SOS-PS; Self-Organization Simulation in Partnership Selection; complex system theory; decision support; evolutionary algorithms; machine learning; partnership selection problems; self-organization; self-organization simulation model; self-organizing behavior; synergetics theory; three-layer self-organization simulation framework; virtual enterprises; Analytical models; Artificial intelligence; Biological system modeling; Evolution (biology); Fractals; Intelligent systems; Learning systems; Machine learning; Mathematical model; Virtual prototyping;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.885060