Epstein Secrets

l general intelligence. In Proceedings of IEEE Symposium on Human-Level Al, Singapore, 2013. CCC+ 11. Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, and Cassio Pennachin. Real World Reasoning. Atlantis, 2011. CH11. N Garg and J Henderson. Temporal restricted boltzmann machines for dependency p

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

irst Conf. on AC1. IOS Press, 2008. Cer99. Michael Gershon. The Second Brain. Harper, 1999. CCC+11. Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, and Cassio Pennachin. Real World Reasoning. Atlantis, 2011. CCK02. T. Cilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psycholog

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

e First Conf. on AGI. IOS Press, 2008. Ger99. Michael Gershon. The Second Brain. Harper, 1999. GGCr11. Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, and Cassio Pennachin. Real World Reasoning. Atlantis, 2011. GGKO02. T. Gilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psychology

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