xvili Contents 13.4.1 The Hopfield neural net model ..............0..00 00020 c eee eee ee 256 13.4.2 Knowledge Representation via Cell Assemblies ...................... 257 13.5 Neural Foundations of Learning ........... 0.00: eee ee ee 208 13.5.1 Hebbian Learning........... 00.0.0. eee ee ee 208 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies .......... 258 13:5:3 Netifal DarwitiSit <2; eases agees es @ims 8625 eEHG EeEws does cates cas LOO 13.6 Glocal Memory ........ 00.00 c eet 260 13.6.1 A Semi-Formal Model of Glocal Memory ....................2+..+-+- 262 13.6.2 Glocal Memory in the Brain ............ 0.00.0. eee ee eee es 268 13.6.3 Glocal Hopfield Networks... .......0...0000 00 0c ee 268 13.6.4 Neural-Symbolic Glocality in CogPrime ..............0...0002.000-+- 269 14 Representing Implicit Knowledge via Hypergraphs ....................... 271 14.1 Introduction .........0.000 0.00 tte eee ee ee 271 14.2 Key Vertex and Edge Types ......... 0.0.00. cee cece cee eee eee eee eee QTL 14.3 Derived Hypergraphs .......... 0... c cece eee een LED 14.3.1 SMEPH Vertices .........000. 00000 cece eee eee ee 272 14.3.2 SMEPH Edges ....... 0.00. eee ete eee 218 14.4 Implications of Patternist Philosophy for Derived Hypergraphs of Intelligent SYSEEMIS ses cases FR ems HR EME HESS SR ESE OS ES EMS PRES ERS oes oem s oes one DAA 14.4.1 SMEPH Principles in CogPrime ............. 0.00.00 eee eee es 276 15 Emergent Networks of Intelligence............. 0.00... 00... eee eee QI Loel JOPOdWMGtIOM, «225 sa: cote: Case) CMDS CG 8@EBE eEwE EES eMews Emt|s cases eas ZIG 15.2 Small World Networks ........0..0000000 0 eet ee eee ee 280 15.3 Dual Network Structure ..........0000 0000 cc eee 2B1 15.3.1 Hierarchical Networks............00000 500 c cece eee eee ZBL 15.3.2 Associative, Heterarchical Networks............00.0 000 c eee eee eee ee 282 15:3:3 Dual Networks: « sss sa¢a3 a&¢05 95 Ems SoIwS Cm ews Seems ae wE oma s oe BOA Section V A Path to Human-Level AGI 16 AGI Pr