Epstein Secrets

d B are characterized by relationships of the form Member C A, Member D B, etc. It is easy to see that, in the crisp case, where all MemberLinks and InheritanceLinks have strength 0 or 1, FOPLN reduces to standard propositional logic. Where inheritance is crisp but membership isn't, FOPLN reduces to higher-order

etween competing brain regions, again, based on high-level "cognitive demand." Deacon's intuition is similar to the one that led Edelman to propose Neural Darwinism tEcle931, and Calvin and Bickerton IC13001 to pose the notion of mind as a "Darwin Machine". The latter have given plausible neural mechanisms ("Da

sorimotor network will naturally possess hierarchical conceptual relationships, and will thus naturally grow hier- archical links between them (e.g. InheritanceLinks and IntensionalinheritanceLinks via PLN, AsymmetricHebbianLinks via ECAN). EFTA00624057 15 Emergent Networks of Intelligence artefact Fig. 15.2

listic Logic Networks formalism; this connection will be pursued at the end of Chapter 34, once more relevant background has been presented. 13.5.3 Neural Darwinism A notion quite similar to Hebbian learning between assemblies has been pursued by Nobelist Gerald Edelman in his theory of neuronal group selection

nsorimotor network will naturally possess hierarchical conceptual relationships, and will thus naturally grow hier- archical links between them (e.g. InheritanceLinks and IntensionalInheritanceLinks via PLN, AsymmetricHebbianLinks via ECAN). HOUSE_OVERSIGHT_013197 282 15 Emergent Networks of Intelligence Fig. 15

ilistic Logic Networks formalism; this connection will be pursued at the end of Chapter 34, once more relevant background has been presented. 13.8.3 Neural Darwinism A notion quite similar to Hebbian learning between assemblies has been pursued by Nobelist Gerald Edelman in his theory of neuronal group selection,