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ossible Benefits of Closely Linking AGIs to the Global Brain 230 12.7.1 The Importance of Fostering Deep, Consensus-Building Interactions Between People with Divergent Views 231 12.8 Possible Benefits of Creating Societies of AGIs 233 12.9 AGI Ethics As Related to Various Future Scenarios 234 12.9.1 Capped Intel
re Nodes 254 13.3.7 Links for Special External Data Types 254 13.3.8 Truth 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
th the need, raised above, to foster the devel- opment of Global Brain technologies capable to "Foster Deep, Consensus-Building Interactions Between People with Divergent Views." If this sort of technology is to be maximally valuable, it should be created quickly enough that we can use it to help shape the goal system conte
ruth values, allowing logical semantics. EFTA00624031 256 13 Local, Global and Global Knowledge Representation 13.4 Knowledge Representation via Attractor Neural Networks Now we turn to global, implicit knowledge representation — beginning with formal neural net models, briefly discussing the brain, and then turning
fits of Closely Linking AGIs to the Global Brain................ 230 12.7.1 The Importance of Fostering Deep, Consensus-Building Interactions Between People with Divergent Views............... 00.0: e ee eee 231 12.8 Possible Benefits of Creating Societies of AGIS ........... 00. cece eee eee 233 12.9 AGI Ethics As Related to
..........0 002.00 eee eee eee 254 13.3.8 Truth Values and Attention Values ........... 0.00.00 eee eee 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 Knowled
ith the need, raised above, to foster the devel- opment of Global Brain technologies capable to "Foster Deep, Consensus-Building Interactions Between People with Divergent Views." If this sort of technology is to be maximally valuable, it should be created quickly enough that we can use it to help shape the goal system conten
ues, allowing logical semantics. HOUSE_OVERSIGHT_013171 256 13 Local, Global and Glocal Knowledge Representation 13.4 Knowledge Representation via Attractor Neural Networks Now we turn to global, implicit knowledge representation — beginning with formal neural net models, briefly discussing the brain, and then turning b
Entities connected to both People with Divergent Views and Attractor Neural Networks

Marc Rich
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Joel Pitt
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Hypergraphs
PERSONBill Hibbard
PERSONCogPrime
ORGANIZATION
Stephen Hawking
PERSONSusan Greenfield
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Edelman
ORGANIZATIONStages of Cognitive Development
ORGANIZATIONReview of Current Thinking on the Risks of AGI
ORGANIZATIONStages of Development of Declarative Ethics
ORGANIZATIONIntegrative Ethics
ORGANIZATIONMultifactorial Ethical Model
ORGANIZATIONthe Stages of Ethical Development
ORGANIZATIONAdaptiveness
ORGANIZATIONThe Ethical Treatment
ORGANIZATIONStephan Vladimir Bugaj
PERSONAGI Ethics
ORGANIZATIONVirtual Synapses
ORGANIZATIONHebbian Learning Between Assemblies
ORGANIZATION