Epstein Secrets

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"

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

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

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

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

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

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

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