DocumentCode :
1943552
Title :
Representing Properties in Conceptual Spaces towards Effective Learning within Intelligent Agents
Author :
Lee, Ickjai
Author_Institution :
Sch. of Inf. Technol., James Cook Univ., Townsville, Qld.
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
222
Lastpage :
227
Abstract :
A conceptual spaces approach is a midway representation to bridge a gap between too detailed raw data from sensory receptors and too coarse symbolic knowledge representations. This paper provides a robust framework for representing properties and concepts that are core elements for many cognitive tasks within conceptual spaces. We use the Voronoi diagram and its dual Delaunay triangulation to define indeterminate property boundaries with lower and upper bounds. We compare and contrast this approach with some other polygonization methods
Keywords :
computational geometry; knowledge representation; learning (artificial intelligence); mesh generation; software agents; Voronoi diagram; conceptual spaces; dual Delaunay triangulation; intelligent agent; polygonization method; sensory receptors; symbolic knowledge representation; Bridges; Collaborative software; Euclidean distance; Information technology; Intelligent agent; Knowledge management; Knowledge representation; Robustness; Space technology; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631472
Filename :
1631472
Link To Document :
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