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

nd seem relevant to AGI, especially advanced AGI systems capable of strong self-modification. • PLN: short for Probabilistic Logic Networks • PLN, First-Order: See First-Order hnference • PLN, Higher-Order: See Higher-Order Inference • PLN Rules: A PLN Rule takes as input one or more Atoms (the "premises"

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,

nd seem relevant to AGI, especially advanced AGI systems capable of strong self-modification. • PLN: short for Probabilistic Logic Networks • PLN, First-Order: See First-Order hnference • PLN, Higher-Order: See Higher-Order Inference • PLN Rules: A PLN Rule takes as input one or more Atoms (the "premises"

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,

et and seem relevant to AGI, especially advanced AGI systems capable of strong self-modification. PLN: short for Probabilistic Logic Networks PLN, First-Order: See First-Order Inference PLN, Higher-Order: See Higher-Order Inference PLN Rules: A PLN Rule takes as input one or more Atoms (the “premises”, us