Epstein Secrets

g Patterns from DeSTIN States 175 29.3.2 Probabilistic Inference on Mined Hypergraphs 176 29.3.3 Insertion of OpenCog-Learned Predicates into DeSTIN's Pattern Library 177 29.4 Multisensory Integration, and Perception-Action Integration 178 29.4.1 Perception-Action Integration 179 29.4.2 Th

Ben Goertzel with Cassio Pennachin & Nil Geisweiller & the OpenCog Team Engineering General Intelligence, Part 2: The CogPrime Architecture for Integrative, Embodied AGI September 19, 2013 EFTA00624

spatiotemporally hier- archical deep learning system is an effective way to handle representation and learning of low-level sensorimotor knowledge. DeSTIN is one example of a deep learning system of this nature that can be effective in this context. i. One effective way to handle goals is to represent

Ben Goertzel with Cassio Pennachin & Nil Geisweiller & the OpenCog Team Engineering General Intelligence, Part 1: A Path to Advanced AGI via Embodied Learning and Cognitive Synergy September 19, 2013

a spatiotemporally hier- archical deep learning system is an effective way to handle representation and learning of low-level sensorimotor knowledge. DeSTIN is one example of a deep learning system of this nature that can be effective in this context. i. One effective way to handle goals is to represent

Ben Goertzel with Cassio Pennachin & Nil Geisweiller & the OpenCog ‘Team Engineering General Intelligence, Part 1: A Path to Advanced AGI via Embodied Learning and Cognitive Synergy September 19, 2013