%0 Journal Article
	%A Byoung-Tak Zhang and  Chan-Hoon Park
	%D 2008
	%J International Journal of Psychological and Behavioral Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 13, 2008
	%T Self-Assembling Hypernetworks for Cognitive Learning of Linguistic Memory
	%U https://publications.waset.org/pdf/4354
	%V 13
	%X Hypernetworks are a generalized graph structure
representing higher-order interactions between variables. We present a
method for self-organizing hypernetworks to learn an associative
memory of sentences and to recall the sentences from this memory.
This learning method is inspired by the “mental chemistry" model of
cognition and the “molecular self-assembly" technology in
biochemistry. Simulation experiments are performed on a corpus of
natural-language dialogues of approximately 300K sentences
collected from TV drama captions. We report on the sentence
completion performance as a function of the order of word-interaction
and the size of the learning corpus, and discuss the plausibility of this
architecture as a cognitive model of language learning and memory.
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