Epstein Secrets

References 345 Ede93. Gerald Edelman. Neural darwinism: Selection and reentrant signaling in higher brain function. Neuron, 10, 1993. Elm91. J. Elman. Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195-226, 1991. EMC12. Effective-Mind-Contr

2008. Dfir02. Dietrich Darner. Die Alechanik des Seelenwegens. Eine neuronale Theorie der Handfungsregula- tion. Verlag Hans Huber, 2002. EBJ+97. J. Elman, E. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi, and K. Plunkett. Rethinking Innateness: A Connection-jai Perspective on Development. MIT Press

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"

7. Ferdinand de Saussure. Course in General Linguistics. Flmtana/Collins, 1977. Orig. published 1916 as "emirs de linguistique generale". EBJ+97. J. Elman, E. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi. and K. Plunkett. Rethinking Innateness: A Connectionist Perspective on Development. MIT Press,

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"

cond Conf. on AGI, 2008. Dietrich Dérner. Die Mechantk des Seelenwagens. Eine neuronale Theorie der Handlungsregula- tion. Verlag Hans Huber, 2002. J. Elman, E. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi, and K. Plunkett. Rethinking Innateness: A Connectionist Perspective on Development. MIT Press,

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