An agent modeling framework for aritificial society: An artificial campus

Author(s):  
Bin Chen ◽  
Liang Liu ◽  
Luobing Zhang ◽  
Yuangzheng Ge ◽  
Xiaogang Qiu
2011 ◽  
Vol 121-126 ◽  
pp. 4112-4116
Author(s):  
Wei Kui Wang ◽  
Xin Hui Zhang ◽  
Shi Liang Yang ◽  
Yun Liu

This paper analyzes the shortcomings of the present applications of the space information confrontation simulation technology in the light of the development trend of the technology and points out establishing simulation platforms based on the HLA and Agent technologies is an effective method to carry out the demonstration and effect evaluation of space information confrontation systems. this paper also proposes an information confrontation Agent modeling framework and an architecture of space information confrontation simulation systems and describes several key technologies needing to be noted in the simulation based on the Agent and HLA technologies.


2019 ◽  
Vol 57 (3) ◽  
pp. 693-695

Christophre Georges of the Department of Economics, Hamilton College reviews “Handbook of Computational Economics. Volume 4. Heterogeneous Agent Modeling,” edited by Cars Hommes and Blake LeBaron. The Econlit abstract of this book begins: “Fourteen papers, comprising a handbook for professional researchers and advanced graduate students, survey behavioral heterogeneity as a critical part of the modeling framework and empirical work.”


2011 ◽  
Vol 30 (12) ◽  
pp. 3155-3157
Author(s):  
Zhi CHEN ◽  
Jie SHI ◽  
Ying KONG ◽  
Yun ZHANG

2008 ◽  
Vol 59 (7) ◽  
Author(s):  
Sanda Florentina Mihalache

A modelling approach that will facilitate an in-depth understanding of the interactions of the different phenomena, human interactions and environmental factors constituting �real world� industrial processes is presented. An important industrial system such as Gas Processing Unit (GPU) have inter-related internal process activities coexisting with external events and requires a real time inter-disciplinary approach to model them. This modeling framework is based on identifying as modules, the part of processes that have interactions and can be considered active participants in overall behaviour. The selected initial set of modules are structured as Petri net models and made to interact iteratively to provide process states of the system. The modeling goal is accomplished by identifying the evolution of the process states as a means of effective representation of the �actual running�� of the industrial process. The paper discusses the function and the implementation of the modelling method as applicable to the industrial case of GPU.


Sign in / Sign up

Export Citation Format

Share Document