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ing. Neural Computing, 10:251-276, 1998. ANOO. Shun-ichi Amari and Hiroshi Nagaoka. Methods of information geometry. ANIS, 2000. ARC09a. I. Aral, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAA! Workshop on
s implicit in the state transition graphs of the mind and world should be inter-mappable via a high- probability morphism. • Mind OS: A synonym for the OpenCog Core. • MindAgent: An OpenCog software object, residing in the CogServer, that carries out some processes in interaction with the Atomspace. A given con
Daniel J. Amit. Modeling brain function - the world of attractor neural networks. Cambridge University Press, New York, USA, 1989. ARC09. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAA! Workshop on
s implicit in the state transition graphs of the mind and world should be inter-mappable via a high- probability morphism. • Mind OS: A synonym for the OpenCog Core. • MindAgent: An OpenCog software object, residing in the C-ogServer, that carries out some processes in interaction with the Atomspace. A given co
. Daniel J. Amit. Modeling brain function — the world of attractor neural networks. Cambridge University Press, New York, USA, 1989. ARCO9. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAAI Workshop on B
es implicit in the state transition graphs of the mind and world should be inter-mappable via a high- probability morphism. e Mind OS: A synonym for the OpenCog Core. e MindAgent: An OpenCog software object, residing in the CogServer, that carries out some processes in interaction with the Atomspace. A given con
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