Epstein Secrets

g. In Proc. ACL, 2011. GIII. B. Coertzel and M. Ikle. Steps toward a geometry of mind. In J Schmidhuber and K Thorisson, editors, Subm.to ACI-11. Springer, 2011. CICH08. B. Goertzel, M. Ikle, I. Goertzel, and A. Heljakka. Probabilistic Logic Networks. Springer, 2008. CKD89. D. E. Goldberg, B. Korb,

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which

learning. Proc. of the IEEE International Conf. on Learning and Development, Shanghai, China., 33, 2009. Bo198. B. Bollobas. Modern Graph Theory. Springer. 1998. EFTA00624119 344 A Glossary Bos02. Nick Beetroot. Existential risks. Journal of Evolution and Technology, 9, 2002. Bos03. Nick Bostrom

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which

ve learning. Proc. of the IEEE International Conf. on Learning and Development, Shanghai, China., 33, 2009. Bol98. B. Bollobas. Modern Graph Theory. Springer, 1998. HOUSE_OVERSIGHT_013259 344 Bos02. Bos03. Bro84. BS04. Buc03. Bur62. BwWss. BZO03. BZGS06. Cal96. Car85. Car97. Cas85. Cas04. Cas07. C

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where *reward” may mean simply the Truth Value of some Atom defined as ”reward”). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which is