Detalhes da Produção

Tipo	Artigo Publicado
Grupo	Produção Bibliográfica
Descrição	STREIT, R. E. ; BORENSTEIN, D.. Structuring and Modeling Data for Representing the Behavior of Agents in the Governance of the Brazilian Financial System. Applied Artificial Intelligence, v. 23, p. 316-345, 2009.
Autor	Rosalvo Ermes Streit
Ano	2009

Informações Complementares

Ano do artigo	2009
Descricão e Informacões Adicionais	Abstract: This paper 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 paper, 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 agents 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.
Divulgacão Científica	NAO
DOI	10.1080/08839510902804796
Homepage do Trabalho	[http://www.informaworld.com/smpp/title~db=all~content=g910066699]
Idioma	Inglês
ISSN	08839514
Meio de Divulgação	IMPRESSO
Natureza	COMPLETO
Página Final	345
Página Inicial	316
Relevância	SIM
Série	4
Título do Artigo	Structuring and Modeling Data for Representing the Behavior of Agents in the Governance of the Brazilian Financial System
Título do Períodico ou Revista	Applied Artificial Intelligence
Volume	23