scholarly journals Network based Multi Agent Simulation Analysis - Part 1 : Model Development -

2008 ◽  
Vol 7 (2) ◽  
pp. 301-308 ◽  
Author(s):  
Cheol-Jae Yoon ◽  
Akira Fujii
Keyword(s):  
Simulation Analysis ◽  
Model Development ◽  
Agent Simulation ◽  
Multi Agent

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.

scholarly journals Multi-Agent Simulation Environment for Logistics Warehouse Design Based on Self-Contained Agents

2020 ◽  
Vol 10 (21) ◽  
pp. 7552
Author(s):  
Takumi Kato ◽  
Ryota Kamoshida
Keyword(s):  
Material Handling ◽  
Model Development ◽  
Simulation Environment ◽  
Industrial Systems ◽  
Development Costs ◽  
Agent Simulation ◽  
Multi Agent ◽  
The Cost ◽  
System Configurations ◽  
Crucial Part

We propose a multi-agent simulation environment for logistics warehouses. Simulation is a crucial part of designing industrial systems, such as logistics warehouses. A warehouse is a multi-agent system (MAS) that consists of various autonomous subsystems with robots, material-handling equipment, and human workers. It is generally difficult to analyze the performance of a MAS thus, it is important to model a warehouse and conduct simulations to design and evaluate the possible system configurations. However, the cost of modeling warehouses and modifying the models is high because there are various components and interactions compared to conventional multi-agent simulations. We proposed a self-contained agent architecture and message architecture of a multi-agent simulation environment for logistics warehouses to reduce the simulation-model development and modification costs. We quantitatively evaluated our environment in terms of development costs by comparing such costs of our environment and a widely used multi-agent simulation environment.

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