Epstein Secrets

arding the representation of knowledge using attractor neural nets. It is a mix of well-established fact with more speculative material. 13.4.1 The Hopfield neural net model Hopfield networks Iliop821 are attractor neural networks often used as associative memories. A Hopfield network with N neurons can

tation of glocal memory in attractor neural net systems • Chapter 23 presents Glocal Economic Attention Networks (ECANs), rough analogues of glocal Hopfield nets that play a central role in CogPrime. Our hypothesis of the potential general importance of glocality as a property of memory, systems (beyond

moved without significantly impacting the net- work's capacity or dynamics. Our experimental work uses sparse Hopfield networks. 13.4.1.1 Palimpsest Hopfield nets with a modified learning rule In JSV99J a new learning rule is presented, which both increases the Hopfield network capacity and turns it into

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

garding the representation of knowledge using attractor neural nets. It is a mix of well-established fact with more speculative material. 13.4.1 The Hopfield neural net model Hopfield networks [Hop82] are attractor neural networks often used as associative memories. A Hopfield network with N neurons can b

ntation of glocal memory in attractor neural net systems e Chapter 23 presents Glocal Economic Attention Networks (ECANs), rough analogues of glocal Hopfield nets that play a central role in CogPrime. Our hypothesis of the potential general importance of glocality as a property of memory systems (beyond j

moved without significantly impacting the net- work’s capacity or dynamics. Our experimental work uses sparse Hopfield networks. 13.4.1.1 Palimpsest Hopfield nets with a modified learning rule In [SV99] a new learning rule is presented, which both increases the Hopfield network capacity and turns it into

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

th Values and Attention Values 255 13.4 Knowledge Representation via Attractor Neural Networks 256 EFTA00623773 xviii Contents 13.4.1 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 Learni

ve pattern recognition as well as static pattern recognition. Audition likely utilizes a similar hierarchy. Olfaction may use something more like a Hopfield attractor neural network, as described in Chapter 13. The networks corresponding to different sense modalities have multiple cross-linkages, more a

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 eee eee 255 13.4 Knowledge Representation via Attractor Neural Networks ................... 256 HOUSE_OVERSIGHT_012913 xviii Contents 13.4.1 The Hopfield neural net model ..............0..0 022 e eee 256 13.4.2 Knowledge Representation via Cell Assemblies .................2.05- 257 13.5 Neural Foundati

tive pattern recognition as well as static pattern recognition. Audition likely utilizes a similar hierarchy. Olfaction may use something more like a Hopfield attractor neural network, as described in Chapter 13. The networks corresponding to different sense modalities have multiple cross-linkages, more at

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