Epstein Secrets

have come to the following conclusions: • for relatively straightforward procedure learning problems, hilldimbing with random restart and a strong Occam bias is an effective method • for more difficult problems that elude hinclimbing, probabilistic evolutionary program learn- Mg is an effective metho

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

ne effective approach to evolu- tionary program learning. MOSES is one good realization of this approach. e. Multistart hill-climbing, with a strong Occam prior, is a good way to handle relatively straightforward program learning problems. f. Activation spreading and Hebbian learning comprise a reason

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

ne effective approach to evolu- tionary program learning. MOSES is one good realization of this approach. e. Multistart hill-climbing, with a strong Occam prior, is a good way to handle relatively straightforward program learning problems. f. Activation spreading and Hebbian learning comprise a reasona

; 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