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Networks 282 15.3.3 Dual Networks 284 Section V A Path to Human-Level AGI 16 AGI Preschool 289 16.1 Introduction 289 16.1.1 Contrast to Standard AI Evaluation Methodologies 290 16.2 Elements of Preschool Design 291 16.3 Elements of Preschool Curriculum 292 16.3.1 Preschool in the Light of Intelligence Theory
h to Superhuman AGI 317 18.1 Introduction 317 18.2 Cognitive Schema Learning 318 18.3 Self-Modification via Supercompilation 319 18.3.1 Three Aspects of Supercompilation 321 18.3.2 Supercompilation for Goal-Directed Program Modification 322 18.4 Self-Modification via Theorem-Proving 323 A Glossary 325 A.1
on V A Path to Human-Level AGI 16 AGI Preschool.......0.... 0... teen eens 289 16.1 Introduction .......... 0.0000 teen teens 289 16.1.1 Contrast to Standard AI Evaluation Methodologies ................... 290 16.2 Elements of Preschool Design ...........00 0.00 e eee eee eee 291 16.3 Elements of Preschool Curriculum ........0... 00
Cognitive Schema Learning .......... 0.000 e cee eee eens 318 18.3 Self-Modification via Supercompilation ..............0..00 000 cee eee 319 18.3.1 Three Aspects of Supercompilation .............0..00 000022 eee eee ee 321 18.3.2 Supercompilation for Goal-Directed Program Modification............. 322 18.4 Self-Modification via T
irtual or robotic preschool is an excellent way — perhaps the best way — to foster the development of human-level human-like AGI. 16.1.1 Contrast to Standard AI Evaluation Methodologies The reader steeped in the current AI literature may wonder why it’s necessary to introduce a new methodology and environment for evaluating AGI syst
ummary. For an accessible overview of the supercompila- tion algorithm, the reader is referred to the article “What is Supercompilation?” [1] 18.3.1 Three Aspects of Supercompilation There are three separate levels to the supercompilation idea: first, a general philosophy; second a translation of this philosophy into a concrete a
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