A survey of knowledge acquisition techniques and their relevance to managerial problem domains
Decision Support Systems
Decision-Making of BDI Agents, a Fuzzy Approach
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Expert guided integration of induced knowledge into a fuzzy knowledge base
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Marketing Research: An Applied Orientation and SPSS 14.0 Student CD (5th Edition)
Marketing Research: An Applied Orientation and SPSS 14.0 Student CD (5th Edition)
A Delphi-based approach to developing expert systems with the cooperation of multiple experts
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Rule-based modeling: precision and transparency
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An agent-based simulation model for analyzing the governance of the Brazilian Financial System
Expert Systems with Applications: An International Journal
Design and development of a fuzzy agent-based model to measure interest rate expectations
Expert Systems with Applications: An International Journal
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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.