Dynamic Logic learning in cognitive-based situation models

We present a cognitive modeling framework called Neural Modeling Fields (NMF) and its application to situation learning and categorization. We discuss how this framework is related to the perceptual symbol systems theory of cognition (PSS). Essentially, the mathematical apparatus of NMF is a way to learn the frames and simulators described qualitatively by PSS. For the purposes of this work, a situation is modeled as a set of objects and relationships that exist among them. Here we consider object recognition problem solved and demonstrate how the NMF framework is used to learn high level concepts such as situations.