A Conceptual Model for a Multiagent Knowledge Building System

Financial decision makers are challenged by the access to massive amounts of both numeric and textual financial information made achievable by the Internet. They are in need of a tool that makes possible rapid and accurate analysis of both quantitative and qualitative information, in order to extract knowledge for decision making. In this paper we propose a conceptual model of a knowledge-building system for decision support based on a society of software agents, and data and text mining methods.

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