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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
ive AGI 216 12.5 Clarifying the Ethics of Justice: Extending the Golden Rule in to a 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 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
to asking how human ethical systems habitually perform these balancing acts. Which is what CEV, CAV, CBV try to measure. 12.5.1 The Golden Rule and the Stages of Ethical Development Next we explore more explicitly how these Golden Rule based imperatives align with the eth- ical developmental stages we have outlined here. With th
3.4.2 Knowledge Representation via Cell Assemblies .................2.05- 257 13.5 Neural Foundations of Learning ..........0 0.000 ee eee 258 13.5.1 Hebbian Learning............ 0.0.00 eee ete eee 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies .......... 258 35:38 Netital DArwitiiSitt +2; case
the Ethics of Justice: Extending the Golden Rule in to a Multifactorial Ethical Model ..........0..000 000 cc eee eee 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 .......0.0.000 0000 ec eee eee 223 12.6 Th
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
nto asking how human ethical systems habitually perform these balancing acts. Which is what CHV, CAV, CBV try to measure. 12.5.1 The Golden Rule and the Stages of Ethical Development Next we explore more explicitly how these Golden Rule based imperatives align with the eth- ical developmental stages we have outlined here. With th
Entities connected to both Hebbian Learning and the Stages of Ethical Development

Marc Rich
PERSON
George W. Bush
PERSONOpenCog
ORGANIZATIONCogPrime
ORGANIZATION
Stephen Hawking
PERSONStephan Vladimir Bugaj
PERSON
Joel Pitt
PERSON
Vladimir Putin
PERSONBill Hibbard
PERSONKey Vertex
LOCATIONSMEPH Principles
ORGANIZATIONSemi-Formal Model of Glocal Memory
ORGANIZATIONHopfield
ORGANIZATIONSusan Greenfield
PERSONGlocal Hopfield Networks
ORGANIZATIONSMEPH Edges
ORGANIZATIONMultifactorial Ethical Model
ORGANIZATION
Hypergraphs
PERSONAGI Ethics
ORGANIZATIONStages of Development of Declarative Ethics
ORGANIZATION