Every indexed document

a general conceptual framework on intelligence which has

to avoid falling into an approach that follows the particulars

it’s also important to look at the nature of mind and intelligence from a more

rather than a loosely coupled collection of capabilities.)

within the chosen cognitive architecture

there are four primary challenges in constructing an integrative

no matter how sensible the architecture; it requires a tightly connected

and pattern-systems modeling self and others. Ultimately

so that richly dynamically interconnected integrative AI architectures will be

but also share contextual understanding in real-time

according to which multiple learning processes can not only dispatch

the human brain appears to be integrative in a much tighter

in such a way that the different components pass inputs

achieved by diverse structures and algorithms

in the sense that they lack sufficiently rich and nuanced interactions

we believe that even these excellent architectures are

often with multiple subcomponents within

emergentist (e.g. neural network) and hybrid architectures. The hybrid architectures

as does the Probabilistic Logic Networks framework

an increasing amount of work in the AI community these days