Title :
The industry evolution simulation model based on multi-agent theory
Author :
Li Qiang ; Yi Jun
Author_Institution :
Dept. of Bus. Adm., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
Focused on the properties and behavior of the demand agent, supply agent and research agent by virtue of multi-agent modeling theory and examined the impact of research achievement transaction cost on the industrial intensity during industry evolution.The simulation results show that with the transaction cost reduction, periodicity of industrial intensity decreases gradually. When the transaction cost is reduced to a certain extent, the periodicity is superseded by volatility.
Keywords :
cost reduction; multi-agent systems; production engineering computing; supply and demand; supply chain management; demand agent; industrial intensity periodicity; industry evolution; industry evolution simulation model; multiagent modeling theory; research achievement transaction cost; research agent; supply agent; transaction cost reduction; Adaptation models; Companies; Decision making; Energy consumption; Government; Industries; Production; Industrial Intensity; Industry Evolution; Multi-agent Modeling; transaction cost;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
DOI :
10.1109/ICCI-CC.2013.6622269
