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

al 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 Heinrich Scheutze. Founda

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

rchitectures 73 4.4.1 Neural versus Symbolic; Global versus Local 75 4.5 Globalist versus Localist Representations 78 4.5.1 CLARION 79 4.5.2 The Society of Mind and the Emotion Machine 80 4.5.3 DUAL 80 4.5.4 4D/RCS 81 4.5.5 PolyScheme 82 4.5.6 Joshua Blue 83 4.5.7 LIDA 84 4.5.8 The Global Work

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

.............. 002.000 00- 75 4.5 Globalist versus Localist Representations ............0...00 00 eee eee eee 78 4.5.1 CLARION ..... 0.0.0.0 79 4.5.2 The Society of Mind and the Emotion Machine ...................... 80 AB JDUUAD: sms cass SecEE ShFE SESE 48 SHEMG THEW CSTE S SRPMS EME OeE mE SR 80 ABA AD/RCS o.oo ccc