Epstein Secrets

, by having another agent explicitly guide it in doing the thing. For instance, teaching a dog to sit by pushing its butt to the ground. • CSDLN: (Compositional Spatiotemporal Deep Learning Network): A hierarchical pattern recognition network, in which each layer corresponds to a certain spatiotemporal granularity, the nodes on a given layer c

ection • LTI: Long Term Importance • MA: MindAgent • MOSES: Meta-Optimizing Semantic Evolutionary Search • MSH: Mirror System Hypothesis • NARS: Non-Axiomatic Reasoning System • NLGen: A specific software component within OpenCog, which provides one way of dealing with Natural Language Generation • OCP: OpenCogPrime • O

, by having another agent explicitly guide it in doing the thing. For instance, teaching a dog to sit by pushing its butt to the ground. • CSDLN: (Compositional Spatiotemporal Deep Learning Network): A hierarchical pattern recognition network, in which each layer corresponds to a certain spatiotemporal granularity, the nodes on a given layer c

ection • LTI: Long Term Importance • MA: MindAgent • MOSES: Meta-Optimizing Semantic Evolutionary Search • MSH: Mirror System Hypothesis • NARS: Non-Axiomatic Reasoning System • NLGen: A specific software component within OpenCog, which provides one way of dealing with Natural Language Generation • OCP: OpenCogPrime • O

hing, by having another agent explicitly guide it in doing the thing. For instance, teaching a dog to sit by pushing its butt to the ground. CSDLN: (Compositional Spatiotemporal Deep Learning Network): A hierarchical pattern recognition network, in which each layer corresponds to a certain spatiotemporal granularity, the nodes on a given layer cor

eature Selection LTI: Long Term Importance MA: MindAgent MOSES: Meta-Optimizing Semantic Evolutionary Search MSH: Mirror System Hypothesis NARS: Non-Axiomatic Reasoning System NLGen: A specific software component within OpenCog, which provides one way of dealing with Natural Language Generation OCP: OpenCogPrime OP: Oper