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g Lian. A probabilistic characterization of fuzzy semantics. Proc. of ICAI-10, Beijing, 2010. CLdG+ 10. Ben Coertzel, Ruiting Lien, Hugo de Gar's, Shuo Chen, and hamar Arel. World survey of artificial brains, part ii: Biologically inspired cognitive architectures. Neurocomputing, April 2010. GM11108. B
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
Pitt, Jared Wigmore / Jade O'Neill, Zhenhua Cal, Deheng Huang, Shujing Ke, Lake Watkins, Alex van der Peet, Samir Araujo, Fabricio Silva, Yang Ye, Shuo Chen, Michel Drenthe, Ted Sanders, Gustavo Gain and of course Nil and Cassio again. Tyler Emerson and Eliezer Yudkowsky, for choosing to have the Singul
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
el Pitt, Jared Wigmore / Jade O'Neill, Zhenhua Cai, Deheng Huang, Shujing Ke, Lake Watkins, Alex van der Peet, Samir Araujo, Fabricio Silva, Yang Ye, Shuo Chen, Michel Drenthe, Ted Sanders, Gustavo Gama and of course Nil and Cassio again. Tyler Emerson and Eliezer Yudkowsky, for choosing to have the Singular
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
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