Titlebook: Engineering General Intelligence, Part 2; The CogPrime Archite Ben Goertzel,Cassio Pennachin,Nil Geisweiller Book 2014 Atlantis Press and t

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Temporal-Lobe

Procedure Learning via Adaptively Biased HillclimbingHaving chosen to represent procedures as programs, explicit procedure learning then becomes a matter of automated program learning.

蜿蜒而流

https://doi.org/10.1007/978-3-030-82863-9s procedure learning, but still is far from trivial, and involves the real-time interaction of procedures, during the course of execution, with other knowledge. In this brief chapter we explain how this process may be most naturally and flexibly carried out, in the context of CogPrime’s representation of procedures as programs (“Combo trees”).

NICE

https://doi.org/10.1007/978-3-031-47194-0 example PLN inference and concept predicatization (to be discussed in later chapters). Most of these methods, however, merely extrapolate procedures directly from other procedures or concepts in the AtomSpace, in a . way—a new procedure is derived from a small number of other procedures or concepts.

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