6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007) An Empirical Study of Knowledge Representation and Learning within Conceptual Spaces for Intelligent Agents Melbourne, Australia July 11-July 13 ISBN: 0-7695-2841-4
DOI Bookmark: http://doi.ieeecomputersociety.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.
Citation:
Ickjai Lee, Bayani Portier, "An Empirical Study of Knowledge Representation and Learning within Conceptual Spaces for Intelligent Agents," icis, pp.463-468, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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