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ion. PhD thesis, MIT, 1998. ZHIO. Ruoyu Zou and Lawrence B. Holder. Frequent subgraph mining on a single l
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"
t Thought, volume 2. pages 63-78. 1990. KLH8.3. Lawrence Kohlberg, Charles Levine, and Alexandra Hewer. Mo
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"
ult Thought, volume 2, pages 63-78. 1990. KLH83. Lawrence Kohlberg, Charles Levine, and Alexandra Hewer. Mo
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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