Epstein Secrets

al Conference of the Cognitive Science Society, 1993. Lai12. John E Laird. The Soar Cognitive Architecture. MIT Press, 2012. LBHIO. Jens Lehmann, Sebastian Bader, and Pascal Hitzler. Extracting reduced logic programs from artificial neural networks. Applied Intelligence, 2010. LDA05. Ramon Lopez, Cozar Delg

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

al Journal of Machine Consciousness., 2009. bGBK02. 1. Goertzel, Andrei Klimov Ben, and Arkady Klimov. Supercompiling java programs, 2002. BII05. Sebastian Bader and Pascal Ritzier. Dimensions of neural-symbolic integration - a structured survey. In S. Artemov, H. Barringer, A. S. d'Avila Garcez, L. C. Lamb,

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

onal Journal of Machine Consciousness., 2009. bGBKO2. 1. Goertzel, Andrei Klimov Ben, and Arkady Klimov. Supercompiling java programs, 2002. BHO5. Sebastian Bader and Pascal Hitzler. Dimensions of neural-symbolic integration - a structured survey. In 8S. Artemov, H. Barringer, A. 5. d’Avila Garcez, L. C. Lamb,

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