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

Multifactorial Ethical Model 219 12.5.1 The Golden Rule and the Stages of Ethical Development 222 12.5.2 The Need for Context-Sensitivity and Adaptiveness in Deploying Ethical Principles 223 12.6 The Ethical Treatment of AGIs 226 12.6.1 Possible Consequences of Depriving AGIs of Freedom 228 1

e our points about glocal knowledge representation in neural net type systems without discussing some aspects of learning in these systems. 13.5.1 Hebbian Learning The most common and plausible assumption about learning in the brain is that synaptic connec- tions between neurons are adapted via some variant of

s! The way the factors are balanced depends on the mind's cognitive and emotional stage of development. 12.5.2 The Need for Context-Sensitivity and Adaptiveness in Deploying Ethical Principles As well as depending on developmental stage, there is also an obvious and dramatic context- sensitivity involved he

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ake our points about glocal knowledge representation in neural net type systems without discussing some aspects of learning in these systems. 13.5.1 Hebbian Learning The most common and plausible assumption about learning in the brain is that synaptic connec- tions between neurons are adapted via some variant of

ns! The way the factors are balanced depends on the mind’s cognitive and emotional stage of development. 12.5.2 The Need for Context-Sensitivity and Adaptiveness in Deploying Ethical Principles As well as depending on developmental stage, there is also an obvious and dramatic context- sensitivity involved her