A STUDY ON RESEARCH PERFORMANCE IN JAPANESE UNIVERSITIES: WHICH IS MORE EFFICIENT — A PROFESSOR WHO IS LEADING HIS RESEARCH GROUP OR ONE WHO IS WORKING ALONE? THE MULTI-AGENT SIMULATION KNOWS

2003 ◽  
Vol 06 (03) ◽  
pp. 375-391 ◽  
Author(s):  
JUN TANIMOTO ◽  
HARUYUKI FUJII
Keyword(s):  
Research Group ◽  
Research Performance ◽  
Coupling Model ◽  
Simulation Technique ◽  
Research Activity ◽  
Artificial Society ◽  
Different Types ◽  
Agent Simulation ◽  
Multi Agent ◽  
Working Alone

In recent years, we have been interested in the up-and-down prospects of academic societies, including both universities and academies. We have developed a University-Academy Coupling Model, which is built on the multi-agent simulation technique. In the artificial society, there exist both funding and "research seeds" that are requisite simultaneously for researchers to survive. The "seed" means a clue, source or new topic for his research activity. This paper focuses on how different efficiencies are observed in different types of organizing processes or personnel systems for research activity in universities.

Psychological factors affecting market dynamics: the role of uncertainty and need satisfaction

2000 ◽  
Vol 03 (01n04) ◽  
pp. 323-334 ◽  
Author(s):  
Marco A. Janssen ◽  
Wander Jager
Keyword(s):  
Need Satisfaction ◽  
Market Dynamics ◽  
Simulation Experiments ◽  
Factors Affecting ◽  
The Social ◽  
Different Types ◽  
Agent Simulation ◽  
Cognitive Choice ◽  
Multi Agent

Markets can show different types of dynamics, ranging from stable markets dominated by one or a few products, to fluctuating markets where products are frequently being replaced by new versions. This paper explores the dynamics of markets from a psychological perspective using a multi-agent simulation model. The behavioural rules of the artificial consumers, the consumats, are based on a conceptual meta-theory from psychology. The artificial consumers have to choose each period between different products. Products remain on the market for as long as their market share exceeds a minimum level. If not, it will be replaced by a new product. Simulation experiments are being performed with a population of consumats having different preferences. Results show that the dominating type of cognitive (choice) process has large consequences for the resulting market dynamics. Moreover, the size of the social network affects the market dynamics too.

Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks

2013 ◽  
Vol 411-414 ◽  
pp. 145-151
Author(s):  
Xiao Dong Kou ◽  
Bo Zhang ◽  
Lin Yang
Keyword(s):  
Knowledge Transfer ◽  
Complex Networks ◽  
Communication Networks ◽  
Simulation Analysis ◽  
China National Knowledge Infrastructure ◽  
Simulation Research ◽  
Knowledge Infrastructure ◽  
Learned Societies ◽  
Agent Simulation ◽  
Multi Agent

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.

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