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anism between deep learning, symbolic cognition and local feature detection in vision processing. In Proc. of AC!-11, 2011. CPPG116. Ben Coertzel, Hugo Pinto, Cassio Pennachin, and Izabela Freire Coertzel. Using dependency pars- ing and probabilistic inference to extract relationships between genes, protei
nandez M., and Mackie I. Efficient reductions with director strings. Evolutionary Computation, 1997. SMK12. Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers. Learning geometry from sensorimo- tor experience. In Proceedings of the First Joint Conference on Development and Learning and Epigenetic Robotics,
asein Pennachin, and Rui Liu. Glocal memory: a design principle for artificial brains and minds. Neurocomputing, April 2010. CPPG06. Ben Goertzel, Hugo Pinto, easel° Pennachin, and Izabela Freire Goertzel. Using dependency pars- ing and probabilistic inference to extract relationships between genes, protei
rd, 2004. Min88. Marvin Minsky. The Society of Mind. MIT Press. 1988. Min07. Marvin Minsky. The Emotion Machine. 2007. MK07. Joseph Modayil and Benjamin Kuipers. Autonomous development of a grounded object ontology by a learning robot. AAAI-07, 2007. MK08. Jonathan Mugan and Benjamin Kuipers. Towards the a
Cassio Pennachin, and Rui Liu. Glocal memory: a design principle for artificial brains and minds. Neurocomputing, April 2010. GPPGO06. Ben Goertzel, Hugo Pinto, Cassio Pennachin, and Izabela Freire Goertzel. Using dependency pars- ing and probabilistic inference to extract relationships between genes, protei
e. Bradford, 2004. in88. Marvin Minsky. The Society of Mind. MIT Press, 1988. inO7. Marvin Minsky. The Emotion Machine. 2007. KO7. Joseph Modayil and Benjamin Kuipers. Autonomous development of a grounded object ontology by a learning robot. AAAI-07, 2007. KO08. Jonathan Mugan and Benjamin Kuipers. Towards the appl
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