Epstein Secrets

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

r vast diversity, not from any single, perfect principle." This perspective was extended in the more recent work The Emotion Machine IMM071, where Minsky argued that emotions are "ways to think" evolved to handle different "problem types" that exist in the world. The brain is posited to have rule-base

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

ur vast diversity, not from any single, perfect principle.” This perspective was extended in the more recent work The Emotion Machine [Min07], where Minsky argued that emotions are “ways to think” evolved to handle different “problem types” that exist in the world. The brain is posited to have rule-based

re learning" - it's not actually a procedure learning process, but rather a process that utilizes the fruits of procedure learning. The well-known "Occam's razor" heuristic says that all else being equal, simpler is better. This notion is embodied mathematically in the Solomonoff-Levin "universal prio

r qualitative differences. It's true that an individual human mind may be viewed as a collective, both from a theory-of- cognition perspective (e.g. Minsky's "society of mind" theory IMM88I) and from a personality- psychology perspective (e.g. the theory of subpersonalities Illow901). And it's true that

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

for Computational Linguistics. Mih07. Rada Nlihalcea. Wand sense disambiguation. Encyclopedia of Machine Learning. Springer-Verlag, 2007. Min88. Marvin Minsky. The Society of Mind. MIT Press, 1988. Mit96. Steven !Althorn The Prehistory of Mind. Thames and Hudson, 1996. MS99. Christopher Manning and Hein