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

fYear

2013

fDate

16-18 July 2013

Firstpage

368

Lastpage

373

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 When the transaction cost is reduced to a certain extent, the periodicity is superseded by volatility.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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCI-CC.2013.6622269

Filename

6622269