Epstein Secrets

eurocomputing, 2010. LOKI' 12. Ruiting Lien, Ben Goertzel, Shujing Ke, Jade OONeill, Keyvan Sadeghi, Simon Shin, Dingjie Wang, Oliver Watkins. and Gino Yu. Syntax-semantic mapping for general intelligence: Language comprehension as hypergraph homomorphism, language generation as constraint satisfaction

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

and Language. 1, 1.:158-171, 1986. CPC+ 11. Ben Coertzel, Joel Pitt, Zhenhua Cai, Jared Wigmore, Deheng Huang., Nil Geisweiller, Ruiting Lian, and Gino Yu. Integrative general intelligence for controlling game al in a minecralt-like environment. In Proc. of RICA 2011, 2011. CP1+10. Ben Goertzel, Joel

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

nd and Language. 1, 1.:158-171, 1986. GPC? 11. Ben Goertzel, Joel Pitt, Zhenhua Cai, Jared Wigmore, Deheng Huang, Nil Geisweiller, Ruiting Lian, and Gino Yu. Integrative general intelligence for controlling game ai in a minecraft-like environment. In Proc. of BICA 2011, 2011. GPIt 10. Ben Goertzel, Joel

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