Every indexed document

have been very helpful in guiding our concrete work on the CogPrime design.

pragmatically useful ""general theory of general intelligence

from broad mathematical models of general

allowing the derivation and analysis of specific structures and

serving more as conceptual models in mathematical form.

where the latter tend to form between ConceptNodes

constituting procedural knowledge. The upper left shows declarative nodes and

in the sense that they operate by observing certain

action and linguistic. Intervening between these

in cases where the probability of C 1 ∧ P → G is

maybe asking Bob for food will be successful too.

allows the virtual dog to reason that if asking Bob

mapped into declarative knowledge and then acted on by PLN inference

the context C is “being with Bob”) will achieve the goal G of getting food

via enabling estimation of the probability via simple similarity

and thus form its own concept of “pit bull

via a process called “predicate schematization” that turns logical predicates

due to observing that other dogs are often heading toward their

for the purpose of creating a simulation

and directed by the goal of maximizing the