Structuring and Modeling Data for Representing the Behavior of Agents
in the Governance of the Brazilian Financial System
Appl. Artif. Intell., 23 (4):
316--345 (April 2009)DOI: 10.1080/08839510902804796
Abstract
This article proposes a method to collect and structure data in order
to model the behavior of agents in an agent-based simulation model.
This model aims to study the regulatory governance of the Brazilian
financial system. In this article, the regulatory governance is understood
as a phenomenon that results from several interactions and transactions
among all actors that influence or are influenced by the activities
of the regulation policies. The study focuses on the short-term interest
rates and incorporates behavioral aspects and no-explicit interests
of social and economical agents. The developed method integrates
content analysis research and in-depth interviews to model the agent'
behavior by means of fuzzy logic rules. It provides systematic collection
and interpretation of data produced in textual form as well as knowledge
from experts. The results of the model validation have shown that
this approach contributes to the development of a methodology for
the modeling and representation of agent behavior in social applied
simulation models.
