Symbol Statistics for Concept Formation in AI Agents
High level conceptual thought seems to be at the basis of the impressive human cognitive ability. Classical top-down (Logic based) and bottom-up (Connectionist) approaches to the problem have had limited success to date. We identify a small body of work that represents a different approach to AI. We call this work the Bottom Up Symbolic (BUS) approach and present a new BUS method to concept construction. The main novelty of our work is that we apply statistical methods in the concept...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (IAT 2009)|
|01_Chen_Symbol_Statistics_for_Concept_2009.pdf||333.45 kB||Adobe PDF||Request a copy|
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