Rule optimizing technique motivated by human concept formation
Abstract
In this paper we present a rule optimizing technique motivated by the psychological studies of human concept learning. The technique allows for reasoning to happen at both higher levels of abstraction and lower level of detail in order to optimize the rule set. Information stored at the higher level allows for optimizing processes such as rule splitting, merging and deleting, while the information stored at the lower level allows for determining the attribute relevance for a particular rule
Citation
Hadzic, Fedja and Dillon, Tharam S.. 2008. : Rule optimizing technique motivated by human concept formation, in Encarnacao, Pedro and Veloso, Antonio (ed), International Conference on Bio-inspired Systems and Signal Processing, 28 Jan 2008, pp. 31-36. Madeira, Portugal: Instinct Press.
Source Title
Proceedings of the International Conference on Bio-inspired Systems and Signal Processing
Additional URLs
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
Collection
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