Data mining coupled conceptual spaces for intelligent agents in data-rich environments

Abstract

Conceptual spaces provide a robust conceptualized frame-work for many cognitive tasks within intelligent agents. As agents are asked to accomplish more complex tasks, an efficient and effective management of conceptual spaces has become an important issue. This paper proposes a data mining coupled conceptual spaces framework for the efficient management of concepts and properties in data-rich environments. This paper illustrates the working principle of data mining coupled conceptual spaces and demonstrates the efficacy and effectiveness of this framework. © Springer-Verlag Berlin Heidelberg 2005.