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0,000 neurons each. Once one has committed oneself to looking at such groups, the next step is to ask how these groups are organized, which leads to Edelman's concept of "maps." A "map," in Edelman's terminology, is a connected set of groups with the property that when one of the inter-group connection
to Hebbian learning between assemblies has been pursued by Nobelist Gerald Edelman in his theory of neuronal group selection, or "Neural Darwinism." Edelman won a Nobel Prize for his work in immunology, which, like most modern immunology, was based on C. MacFarlane Burnet's theory of "clonal selection"
Chapter 34 of Part 2, but this isn't actually necessary to obtain the inferential maintenance of a robust hierarchical network. 15.3.2 Associative, Heterarchical Networks Heterarchy is in essence a simpler structure than hierarchy: it simply refers to a network in which nodes are linked to other nodes with which they
50,000 neurons each. Once one has committed oneself to looking at such groups, the next step is to ask how these groups are organized, which leads to Edelman’s concept of “maps.” A “map,” in Edelman’s terminology, is a connected set of groups with the property that when one of the inter-group connections
similar transient assemblies when highly activated. The importance of repeated, slightly varied copies of the same subnetwork has been emphasized by Edelman [Ede93] among other neural theorists. 1 The larger an ensemble is, she suggests, the more vivid it is as a conscious experience; an hypothesis that
Chapter 34 of Part 2, but this isn’t actually necessary to obtain the inferential maintenance of a robust hierarchical network. 15.3.2 Associative, Heterarchical Networks Heterarchy is in essence a simpler structure than hierarchy: it simply refers to a network in which nodes are linked to other nodes with which they
r-level behaviors like reasoning or subgoaling. • NOMAD (Neurally Organized Mobile Adaptive Device) automata and its successors [K EMI are based on Edelman's "Neural Darwinism" model of the brain, and feature large numbers of simulated neurons evolving by natural selection into configurations that carry
5.1 Introduction 279 15.2 Small World Networks 280 15.3 Dual Network Structure 281 15.3.1 Hierarchical Networks 281 15.3.2 Associative, Heterarchical Networks 282 15.3.3 Dual Networks 284 Section V A Path to Human-Level AGI 16 AGI Preschool 289 16.1 Introduction 289 16.1.1 Contrast to Standard
er-level behaviors like reasoning or subgoaling. e NOMAD (Neurally Organized Mobile Adaptive Device) automata and its successors [KE06] are based on Edelman’s “Neural Darwinism” model of the brain, and feature large numbers of simulated neurons evolving by natural selection into configurations that carry
0 c cette 280 15.3 Dual Network Structure .......0..0.0 000 ete 281 15.3.1 Hierarchical Networks...........0.00.000 00 eee ee 281 15.3.2 Associative, Heterarchical Networks. ........00.000 0000 ccc ees 282 15-38 Dual Networks: « sss: sasa3 ac $5 65 {MEMS EMTWS CM EG SRE EASE wE BREE SR 284 Section V A Path to Human-Leve
Entities connected to both Edelman and Heterarchical Networks

Jeffrey Epstein
PERSON
Marc Rich
PERSON
Donald Trump
PERSON
Bill Clinton
PERSON
Stephen Hawking
PERSON
Gerald Edelman
PERSON
Prince Andrew
PERSON
George W. Bush
PERSON
Vladimir Putin
PERSON
Alan Dershowitz
PERSON
Earth
LOCATION
Vince Foster
PERSONCogPrime
ORGANIZATIONOpenCog
ORGANIZATIONHebbian Learning Between Assemblies
ORGANIZATION
Lawrence Krauss
PERSONHebbian Learning
ORGANIZATION
Hypergraphs
PERSONAGI Ethics
ORGANIZATIONKey Vertex
LOCATION