Epstein Secrets

Neural Darwinism 259 13.6 Glocal Memory 260 13.6.1 A Semi-Formal Model of Glocal Memory 262 13.6.2 Glocal Memory in the Brain 263 13.6.3 Glocal Hopfield Networks 268 13.6.4 Neural-Symbolic Glocality in CogPrime 269 14 Representing Implicit Knowledge via Hypergraphs 271 14.1 Introduction 271 14.2

EPH Vertices 272 14.3.2 SMEPH Edges 273 14.4 Implications of Patternist Philosophy for Derived Hypergraphs of Intelligent Systems 274 14.4.1 SMEPH Principles in CogPrime 276 15 Emergent Networks of Intelligence 279 15.1 Introduction 279 15.2 Small World Networks 280 15.3 Dual Network Structure

of glocality in human memory will doubtless improve tremendously. EFTA00624043 268 13 Local, Global and Glace! Knowledge Representation 13.6.3 Glocal Hopfield Networks The ideas in the previous section suggest that, if one wishes to construct an AGI, it is worth seriously considering using a memory with some sort

hen according to the patternist philosophy evolution of its derived hypergraph can't necessarily be expected to follow the above principles. 14.4.1 SMEPH Principles in CogPrime We now more explicitly elaborate the application of these ideas in the CogPrime context. As noted above, in addition to explicit knowle

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cality in human memory will doubtless improve tremendously. HOUSE_OVERSIGHT_013183 268 13 Local, Global and Glocal Knowledge Representation 13.6.3 Glocal Hopfield Networks The ideas in the previous section suggest that, if one wishes to construct an AGI, it is worth seriously considering using a memory with some sort o

then according to the patternist philosophy evolution of its derived hypergraph can’t necessarily be expected to follow the above principles. 14.4.1 SMEPH Principles in CogPrime We now more explicitly elaborate the application of these ideas in the CogPrime context. As noted above, in addition to explicit knowled