Every indexed document

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

NARS doesn’t decide what type of inference is used to process

and the knowledge happens to be an answer to the question

where each chunk consists of a set of tasks and a set of knowledge. NARS’s basic

where a task consists of a question or a

NARS is more than just an uncertain logic

a relationship that is discussed in depth in [GMIH08] and won’t