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xviii Contents 13.4.1 The Hopfield neural net model ..............0.. 0002 cece eee 256 13.4.2 Knowledge Representation via Cell Assemblies .................2.05. 257 13.5 Neural Foundations of Learning ..........0.. 000 eee eee 258 13.5.1 Hebbian Learning............ 0.0.00 eee eens 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies .......... 258 135:8 Nets! DarwittiSitt +2; cases cose: €5 s@5m5 8@EME POEMS SERA EOE RS EOtes CO: 259 13.6 Glocal Memory .......00 0.00 eect etn eens 260 13.6.1 A Semi-Formal Model of Glocal Memory .................0 00.0 e eee ee 262 13.6.2 Glocal Memory in the Brain ............ 0.0... eee 263 13.6.3 Glocal Hopfield Networks... 0.2.0.0... 00022 ccc ee eee 268 13.6.4 Neural-Symbolic Glocality in CogPrime ............. 0002.0 ee eee eee 269 14 Representing Implicit Knowledge via Hypergraphs ....................... 271 14.1 Introduction ..........00 0000s 271 14.2: Key Vertex atid Edge Typé8 casas cine cs cee s ce ses emis emo es Ome e OMe Ome 271 14.3 Derived Hypergraphs .......... 0... e cece eet tna 272 14.3.1 SMEPH Vertices ......... 00.00. c teens 272 14.3.2 SMEPH Edges... 0.0.0... cette ee 273 14.4 Implications of Patternist Philosophy for Derived Hypergraphs of Intelligent SYSUCIIS ses cm ems FERS HR EMS HEME BREE OS ER ERS CREME CR EMS ORES OR EME BREE ORE 274 14.4.1 SMEPH Principles in CogPrime ............. 0.0... c eee eee 276 15 Emergent Networks of Intelligence............. 000... 002. c eee eee 279 15el IPOAWEtIOH, «205 seme emees Cees EMNOs dE SMEG MEME SEBS SERS EME!s dees ems 279 15.2 Small World Networks ........0.0.000 0000 ect n ee 280 15.3 Dual Network Structure .......0.000 000 tee 281 15.3.1 Hierarchical Networks...........0.000000 0c 281 15.3.2 Associative, Heterarchical Networks. ........00.00.0 000 ccc ees 282 15-38 Dual Networks: « ss.:as sacs: au: 65 {MEMS EMTWS CM EG SEEM GARE wE GREE See 284 Section V A Path to Human-Level AGI 16 AGI Preschool............ 000. cee tet e tenes 289 16.1 Introduction ..........0 00.00 289 16.1.1 Contrast to Standard AI Evaluation Methodologies ................... 290 16.2 Elements of Preschool Design ...........0 00.0 291 16.3 Elements of Preschool Curriculum ........00...00 000 cece ee ee eee 292 16.3.1 Preschool in the Light of Intelligence Theory .....................-.. 293 16.4 Task-Based Assessment in AGI Preschool ............. 0.00: cece eee eee 295 16.5 Beyond Preschool ......... 00... eee ete enn 298 16.6 Issues with Virtual Preschool Engineering ...........0.. 0000 cece eee eee 298 16.6.1 Integrating Virtual Worlds with Robot Simulators .................... 301 16.6.2 BlocksNBeads World ............00. 0000 e cece eee ee 301 17 A Preschool-Based Roadmap to Advanced AGI.....................00005. 307 LG Jnttreduction, asm: ssw sa302 Sh 2M3 SRESS OF SEM G THEW KES PREM SEEMS GREE SR 307 17.2 Measuring Incremental Progress Toward Human-Level AGI .................. 308 17.3 Conclusion ........0. 00002 teen tees 315 HOUSE_OVERSIGHT_012914