Epstein Secrets

ease. In Proceedings of 8th IEEE International Conference on Cognitive Informatics., 2009. Cha0s. Gregory Chaitin. Algorithmic Information Theory. Cambridge University Press, 2008. EFTA00624676 530 A Glossary Cha09. Mark Changizi. The Vision Revolution. l3enBella Books, 2009. Che97. K. Chellapilla. Evolving comput

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 World Reasoning. Atlantis, 2011. CCK02. T. Cilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press, 2002. Cib77. J. J. Gibson. The theory of affordances. In R. Shaw & J. Bransford. Erlba , editor, Perceiving, Acting and Knowing. 1977. Cib78.

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"

Real World Reasoning. Atlantis, 2011. GGKO02. T. Gilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press, 2002. Gib77. J. J. Gibson. The theory of affordances. In R. Shaw & J. Bransford. Erlbaum, editor, Perceiving, Acting and Knowing. 1977. Gib78. Joh

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