Epstein Secrets

re Nodes 254 13.3.7 Links for Special External Data Types 254 13.3.8 Truth Values and Attention Values 255 13.4 Knowledge Representation via Attractor Neural Networks 256 EFTA00623773 xviii Contents 13.4.1 The Hopfield neural net model 256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5

hs 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 281 15.3.1 Hierarchical Networks 281 15.3.2 Associative, Heterarchical Networks 282 15.3.3 Dual Networks

ruth values, allowing logical semantics. EFTA00624031 256 13 Local, Global and Global Knowledge Representation 13.4 Knowledge Representation via Attractor Neural Networks Now we turn to global, implicit knowledge representation — beginning with formal neural net models, briefly discussing the brain, and then turning

the possible emergence of structures characterizing inter-cognitive reflection. 279 EFTA00624055 280 15 Emergent Networks of Intelligence 15.2 Small World Networks One simple but potentially useful observation about CogPrime Atomspaces is that they are generally going to be small world networks Inuc03], rather

..........0 002.00 eee eee eee 254 13.3.8 Truth Values and Attention Values ........... 0.00.00 eee eee eee eee 255 13.4 Knowledge Representation via Attractor Neural Networks ................... 256 HOUSE_OVERSIGHT_012913 xviii Contents 13.4.1 The Hopfield neural net model ..............0..0 022 e eee 256 13.4.2 Knowled

rks of Intelligence..............00... 002. c eee eee 279 L5el JPOAWEtIOH, «205 seme emees Cees EMNOs LE SMEG MEME SEMS SERS EM E!s dees ema 279 15.2 Small World Networks ........0..000.0 0000 c cette 280 15.3 Dual Network Structure .......0..0.0 000 ete 281 15.3.1 Hierarchical Networks...........0.00.000 00 eee ee 281

ues, allowing logical semantics. HOUSE_OVERSIGHT_013171 256 13 Local, Global and Glocal Knowledge Representation 13.4 Knowledge Representation via Attractor Neural Networks Now we turn to global, implicit knowledge representation — beginning with formal neural net models, briefly discussing the brain, and then turning b

sible emergence of structures characterizing inter-cognitive reflection. 279 HOUSE_OVERSIGHT_013195 280 15 Emergent Networks of Intelligence 15.2 Small World Networks One simple but potentially useful observation about CogPrime Atomspaces is that they are generally going to be small world networks [Buc03], rather