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ur09. Yohei Kuria. 9-intersection calculi for spatial reasoning on the topological relations between multi-domain objects. USA, June 2009. Kur12. Ray Kurzweil. How to Create a Mind. Viking, 2012. LA93. C Lebiere and J R Anderson. A connectionist implementation of the act-r production system. In Proceedin
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"
Adam Kahane and Peter Senge. Solving Tough Problems: An Open Way of Talking, Listening, and Creating New Realities. Berrett-Koehler. 2004. Kur06. Ray Kurzweil. The Singularity is Near. 2006. Kur12. Ray Kurzweil. Bow to Create a Mint Viking, 2012. Kyb97. H. Kyburg. Bayesian and non-bayesian evidential up
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"
4. Adam Kahane and Peter Senge. Solving Tough Problems: An Open Way of Talking, Listening, and Creating New Realities. Berrett-Koehler, 2004. Kur06. Ray Kurzweil. The Singularity is Near. 2006. Kurl2. Ray Kurzweil. How to Create a Mind. Viking, 2012. Kyb97. H. Kyburg. Bayesian and non-bayesian evidential upd
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
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