AN AGENT-BASED SIMULATION ON MARKET CONSIDERING KNOWLEDGE TRANSITION AND　SOCIAL IMPACT

作     者：Tieju MinaRyoke 等 

作者机构：SchoolofKnowledgeScienceJapanAdvancedInstituteofScienceandTechnology1-1AsahidaiTatsunokuchiIshikawa923-1292Japan SchoolofKnowledgeScienceJapanAdvancedInstituteofScienceandTechnology1-1AsahidaiTa 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2002年第15卷第3期

页      面：251-260页

核心收录：

学科分类：120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0711[理学-系统科学] 12[管理学] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 020205[经济学-产业经济学] 07[理学] 071101[理学-系统理论] 

主　　题：Agent fuzzy modeling local linear model global model. 

摘      要：In this paper, an agent-based simulation about knowledge transition associated with social impact in market is introduced. In the simulation, the genetic algorithm is used to generate the next generation products and a dynamic social impact model is used to simulate how customers are influenced by other customers. The simulation and its results not only show some features and patterns of knowledge transition, but also explore and display some phenomena of business cultures. On the basis of the innovation model of knowledge-based economy, the transition between technical knowledge and products knowledge is discussed, and a fuzzy linear quantification model which can be used to simulate the transition is introduced.