Epstein Secrets

onal robust pattern recognition. Proc. AAA! Workshop on Biologically Inspired Cognitive Architectures, 2009. ARC09b. Itamtu. Arel, Derek Rose, and Robert Coop. A biologically-inspired deep learning architecture with application to high-dimensional pattern recognition. In Biologically Inspired Cognitive Arc

pean Conf. on Genetic Programming. 2004. CCPM06. Ben Goertzel, Lucio Coelho, Cassio Pennachin, and Mauricio Mudada. Identifying Complex Bio- logkal Interactions based on Categorical Gene Expression Data. In Proceedings of Conference on Evolutionary Computing. Vancouver CA. 2006. CE01. Roop Goyal and Max Eg

h; Ben Goertzel, Novamente LLC; Ramer Arel, University of Tennessee; Joscha Bach, Institute of Cogni- tive Science, University of Osnabruck, Germany; Robert Coop, University of Tennessee; Rod FUrlan, Singularity Institute; Matthias Sellouts, Indiana University; J. Storrs Hall, Foresight Institute; Alexei Sams

ge creation mechanisms to perform much more effectively in combination than they would if operated non-interactively. This is "cognitive synergy." Interactions as mentioned in Points 4 and 5 in the above list are the real conceptual meat of the cognitive synergy idea. One way to express the key idea here, i

; Ben Goertzel, Novamente LLC; Itamar Arel, University of Tennessee; Joscha Bach, Institute of Cogni- tive Science, University of Osnabruck, Germany; Robert Coop, University of Tennessee; Rod Furlan, Singularity Institute; Matthias Scheutz, Indiana University; J. Storrs Hall, Foresight Institute; Alexei Samson

edge creation mechanisms to perform much more effectively in combination than they would if operated non-interactively. This is “cognitive synergy.” Interactions as mentioned in Points 4 and 5 in the above list are the real conceptual meat of the cognitive synergy idea. One way to express the key idea here, in