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cedure Learning as Program Learning 30.1 Introduction Broadly speaking, the learning of predicates and schemata (executable procedures) is done in CogPrime via a number of different methods, including for example PLN inference and concept predicatization (to be discussed in later chapters). Most of thes
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
what this "tuning" should involve - namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime's overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and envir
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
ut what this "tuning" should involve — namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime’s overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and enviro
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,
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