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the Brain 263 13.6.3 Glocal Hopfield Networks 268 13.6.4 Neural-Symbolic Glocality in CogPrime 269 14 Representing Implicit Knowledge via Hypergraphs 271 14.1 Introduction 271 14.2 Key Vertex and Edge Types 271 14.3 Derived Hypergraphs 272 14.3.1 SMEPH Vertices 272 14.3.2 SMEPH Ed
13 Local, Global and Glocal Knowledge Representation 245 13.1 Introduction 245 13.2 Localized Knowledge Representation using Weighted, Labeled Hypergraphs 246 13.2.1 Weighted, Labeled Hypergraphs 246 13.3 Atoms: Their Types and Weights 247 13.3.1 Some Basic Atom Types 247 13.3.2 Variable At
hics 205 12.1 Introduction 205 12.2 Review of Current Thinking on the Risks of AGI 206 12.3 The Value of an Explicit Goal System 209 12.4 Ethical Synergy 210 12.4.1 Stages of Development of Declarative Ethics 211 12.4.2 Stages of Development of Empathic Ethics 214 12.4.3 An Integrative Approa
algorithms for creating localist knowledge from globalist knowledge are described 13.2 Localized Knowledge Representation using Weighted, Labeled Hypergraphs There are many different mechanisms for representing knowledge in AI systems in an explicit, localized way, most of them descending from various va
one way of doing this. In our near-term work with CogPrime, we are using simplistic approaches, with a view toward early-stage system testing. 12.4 Ethical Synergy An explicit goal system provides an explicit way to ensure that ethical principles (as represented in system goals) play a significant role in guid
n” algorithms for creating localist knowledge from globalist knowledge are described 13.2 Localized Knowledge Representation using Weighted, Labeled Hypergraphs There are many different mechanisms for representing knowledge in AI systems in an explicit, localized way, most of them descending from various var
inciple, they have the flexibility to deal with complex ethical decisions, including not only weighted “for the greater HOUSE_OVERSIGHT_013128 12.4 Ethical Synergy 213 good” dichotomous decision making, but also the ability to develop moral decision networks which do not require that all situations be solved th
Entities connected to both Hypergraphs and Ethical Synergy

Vladimir Putin
PERSONHopfield
ORGANIZATION
Earth
LOCATION
George W. Bush
PERSON
Marc Rich
PERSONOpenCog
ORGANIZATIONHebbian Learning
ORGANIZATIONStephan Vladimir Bugaj
PERSONCogPrime
ORGANIZATIONAGI Ethics
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
ORGANIZATIONPeople with Divergent Views
ORGANIZATIONAttractor Neural Networks
ORGANIZATION