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	Pattern mining for general intelligence: The FISHGRAM algorithm for frequent and interesting subhypergraph mining
	O'Neill, Jade ; Goertzel, ; Ke, Shujing , ; Lian, Ruitin ; Sadeghi, Keyvan ; Shiu, Simon ; Wang, Dingji ; Yu, Gino ; Wang DJ(王丁杰)
	2012
关键词	Graph theory
英文摘要	Conference Name:5th International Conference on Artificial General Intelligence, AGI 2012. Conference Address: Oxford, United kingdom. Time:December 8, 2012 - December 11, 2012.; Oxford University; Future of Humanity Institute; Kurzweil AI; Rick Schwall; Novamente LLC; Fishgram, a novel algorithm for recognizing frequent or otherwise interesting sub-hypergraphs in large, heterogeneous hypergraphs, is presented. The algorithm's implementation the OpenCog integrative AGI framework is described, and concrete examples are given showing the patterns it recognizes in OpenCog's hypergraph knowledge store when the OpenCog system is used to control a virtual agent in a game world. It is argued that Fishgram is well suited to fill a critical niche in OpenCog and potentially other integrative AGI architectures: scalable recognition of relatively simple patterns in heterogeneous, potentially rapidly-changing data. 漏 2012 Springer-Verlag.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-35506-6_20
出版者	Springer Verlag
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86786]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	O'Neill, Jade,Goertzel,,Ke, Shujing ,,et al. Pattern mining for general intelligence: The FISHGRAM algorithm for frequent and interesting subhypergraph mining. 2012-01-01.

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