scholarly journals Empirical Validation in Agent-based Models: Introduction to the Special Issue

2007 ◽  
Vol 30 (3) ◽  
pp. 189-194 ◽  
Author(s):  
G. Fagiolo ◽  
C. Birchenhall ◽  
P. Windrum
2018 ◽  
pp. 163-182 ◽  
Author(s):  
Giorgio Fagiolo ◽  
Matteo Richiardi

2017 ◽  
Vol 23 (1/2) ◽  
pp. 2-12 ◽  
Author(s):  
Davide Secchi

Purpose The purpose of this editorial is to introduce the Special Issue “Agent-Based Models of Bounded Rationality” and to provide an overview of its rationale and main objectives. Design/methodology/approach After outlining the overall framework to justify the choice of agent-based modeling in relation to bounded rationality, an overview of the six papers published in the Special Issue is presented. Findings The paper argues that simulation of complex adaptive social systems is a way to set the ground for updating the concept of bounded rationality and prepare for it to still play a significant role in the years to come. Originality/value After its introduction, bounded rationality remained mostly used but seldom discussed in both its assumptions and its meaning. The originality of this introduction is to unveil some of the points that keep rationality still at the core of organization and team research.


Author(s):  
Blake LeBaron ◽  
Peter Winker

SummaryThis special issue of the Journal of Economics and Statistics is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of applications. Special emphasis is laid on discussing the potential and possible limitations of agent-based models for economic policy advice. The editorial provides an overview on the role of agent-based modeling in economic policy referring also to the papers presented. Furthermore, it highlights the strength of the approach, i.e., the explicit microfoundation and the modeling of heterogenous agents. Finally, we also report on current limitations of the method with regard to economic policy advice and point at some areas deserving further research.


Sign in / Sign up

Export Citation Format

Share Document