Epstein Secrets

Five Key Words 9 1.7.1 Memory and Cognition in CogPrime 10 1.8 Virtually and Robotically Embodied Al 11 1.9 Language Learning 12 1.10 AGI Ethics 12 1.11 Structure of the Book 13 1.12 Key Claims of the Book 13 Section I Artificial and Natural General Intelligence 2 What Is Human-Lik

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 Edges 273 14.4 Implications of Patternist Philoso

straint of AGI self-modification may be possible, but the feasibility and desirability of these scenarios is needful of further exploration. 12.6.2 AGI Ethics as Boundaries Between Humans and AGIs Become Blurred Another important reason for valuing ethical treatment of AGLs is that the boundaries between

ergent" hypergraphs of the sort described here using the acronym SMEPH, which stands for Self-Modifying, Evolving Probabilistic Hy- pergraphs. 14.2 Key Vertex and Edge Types We begin by introducing a particular collection of Vertex and Edge types, to be used in modeling the internal structures of intellig

he Ethical Treatment of AGIs ..........0...0 000 c cece ee 226 12.6.1 Possible Consequences of Depriving AGIs of Freedom ................. 228 12.6.2 AGI Ethics as Boundaries Between Humans and AGIs Become Blurred . 229 12.7 Possible Benefits of Closely Linking AGIs to the Global Brain................ 230 12.

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 emo ws Meee MERE OE 271 14.3 Derived Hypergraphs .......... 0.000. c cece tenet eae 272 14.3.1 SM

estraint of AGI self-modification may be possible, but the feasibility and desirability of these scenarios is needful of further exploration. 12.6.2 AGI Ethics as Boundaries Between Humans and AGIs Become Blurred Another important reason for valuing ethical treatment of AGIs is that the boundaries between m

mergent" hypergraphs of the sort described here using the acronym SMEPH, which stands for Self-Modifying, Evolving Probabilistic Hy- pergraphs. 14.2 Key Vertex and Edge Types We begin by introducing a particular collection of Vertex and Edge types, to be used in modeling the internal structures of intellige