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. Messy genetic algorithms: Motivation, analysis, and first results. Complex Systems, 1989. EFTA00624677 References 531 CLI0. Ben Coertzel and Ruiting Lian. A probabilistic characterization of fuzzy semantics. Proc. of ICAI-10, Beijing, 2010. CLdG+ 10. Ben Coertzel, Ruiting Lien, Hugo de Gar's, Shuo C
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
es book series in which this book appears, and who has been a strong supporter of the AGI conference series from the beginning • My wonderful wife Ruiting Lian, a source of fantastic amounts of positive energy for me since we became involved four years ago. Ruiting has listened to me discuss the ideas cont
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
chines book series in which this book appears, and who has been a strong supporter of the AGI conference series from the beginning My wonderful wife Ruiting Lian, a source of fantastic amounts of positive energy for me since we became involved four years ago. Ruiting has listened to me discuss the ideas contai
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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