An Intelligent Agent-Based Architecture for Chance Discovery System Applications

Abstract

The discovery of chances (risks or opportunities) can have a significant impact on decision making. We develop an intelligent system to discover relative chances with respect to a particular chance seeker (agent). Agent, as autonomous entities which either work on their own or cooperate with others, and agent architectures have enormous potentials to be applied in such critical system. In this article, first we investigate the very fundamental concepts of chance discovery and intelligent agent technology. Then, we make use of the concepts and integrate them into a state-of-the-art, intelligent architecture for chance discovery system, called intelligent agent-based chance discovery. The graphical representation of this model is intent to help the reader understand the concept much better. After explaining the suggested model in full details, we discussions and concluding remarks regarding the proposed system are provided at the end of the paper.