Epstein Secrets

oduction .......00..000 000 tte teen ee 271 14.2: Key Vertex atid Edge Typé$ casas cuine cs ce ees ee ses ems es emo ws Meee MERE OE 271 14.3 Derived Hypergraphs .......... 0.000. c cece tenet eae 272 14.3.1 SMEPH Vertices .........000 0000. tte 272 14.3.2 SMEPH Edges ...... 0... ee eee eens 273 14.4 Implicat

works... .......0.000. 0022 c cee ee 268 13.6.4 Neural-Symbolic Glocality in CogPrime ............. 0000.0 269 14 Representing Implicit Knowledge via Hypergraphs ....................... 271 14.1 Introduction .......00..000 000 tte teen ee 271 14.2: Key Vertex atid Edge Typé$ casas cuine cs ce ees ee ses ems es

epresentation...................... 245 13.1 Introduction ..........000 0002 eens 245 13.2 Localized Knowledge Representation using Weighted, Labeled Hypergraphs .... 246 13.2.1 Weighted, Labeled Hypergraphs............... 0000: c eee eee eee eee 246 13.3 Atoms: Their Types and Weights ............ 0.00. cee

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

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

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

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

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

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

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