Epstein Secrets

1 The Hopfield neural net model 256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5 Neural Foundations of Learning 258 13.5.1 Hebbian Learning 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies 258 13.5.3 Neural Darwinism 259 13.6 Glocal Memory 260 13.6.1 A Semi-Fo

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

parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. • Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money,

summary. For an accessible overview of the supercompila- tion algorithm, the reader is referred to the article 'What is Supercompilation? Ui 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

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e parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money, ST

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