An empirical study of knowledge representation and learning within conceptual spaces for intelligent agents
Lee, Ickjai, and Portier, Bayani (2007) An empirical study of knowledge representation and learning within conceptual spaces for intelligent agents. Proceedings of 6th IEEE/ACIS International Conference on Computer and Information Science. ICES 2007 6th IEEE/ACIS International Conference on Computer and Information Science , 11-13 July 2007, Melbourne, Australia , pp. 463-468.
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View at Publisher Website: http://dx.doi.org/10.1109/ICIS.2007.57
This paper investigates the practicality and effectiveness of conceptual spaces as a framework for knowledge representation. We empirically compares and contrasts two popular quantitative lazy learning systems (nearest neighbor learning and prototype learning) within conceptual spaces and mere multidimensional feature spaces. Experimental results demonstrates conceptual spaces are superior to mere multidimensional feature spaces in concept learning and confirm the virtue of conceptual spaces.
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