Every indexed document

which is often imperfect and always applicationdomain

not explicitly incorporating the hierarchical structure of the world in

most machine learning and pattern recognition systems are

building on prior work in the area of deep learning.

in which computation processes and memory storage are

and are somehow able to capture critical aspects of it in a way that allows for

and an action network that controls actuators based on the

perception is carried out by a deep spatiotemporal inference

the intention is to utilize DeSTIN for perception and actuation oriented

founded on the same qualitative information-processing principles as

state inference and reinforcement-learning-guided action in real-world environments.

created by Itamar Arel and his colleagues

at least in the forms currently seen in the literature

or a much more thorough mathematical understanding of

based on the earlier and related IBCA (Integrated Biologically-based Cognitive

so that the KL may be variously viewed as predicate logic based

and handles translation and communication between the KL

which grounds the KL symbols in perceptual structures

contains the controllers of the sensors and effectors of

but works in a data-driven way – that is