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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
/group/opencog/files, 2008. Coe08b. Ben Coertzel. A pragmatic path toward endowing virtually-embodied ais with human-level lin- guistic capability. IEEE World Congress on Computational Intelligence (Wee!), 2008. Goel0a. Ben Goertzel. Infinite-order probabilities and their application to modeling self-referential s
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
TA00624121 346 A Glossary Coe08. Ben Coertzel. A pragmatic path toward endowing virtually-embodied ais with human-level lin- guistic capability. IEEE World Congress on Computational Intelligence (WCCI), 2008. Coe09a. Ben Coertzel. Cognitive synergy: A universal principle of feasible general intelligence? In ICC
. 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
RSIGHT_013261 346 A Glossary Goe08. Ben Goertzel. A pragmatic path toward endowing virtually-embodied ais with human-level lin- guistic capability. IEEE World Congress on Computational Intelligence (WCCI), 2008. Goe09a. Ben Goertzel. Cognitive synergy: A universal principle of feasible general intelligence? In [CCT
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