Perceptual Context in Cognitive Hierarchies
Artificial Intelligence
2018-01-09 v1 Robotics
Abstract
Cognition does not only depend on bottom-up sensor feature abstraction, but also relies on contextual information being passed top-down. Context is higher level information that helps to predict belief states at lower levels. The main contribution of this paper is to provide a formalisation of perceptual context and its integration into a new process model for cognitive hierarchies. Several simple instantiations of a cognitive hierarchy are used to illustrate the role of context. Notably, we demonstrate the use context in a novel approach to visually track the pose of rigid objects with just a 2D camera.
Cite
@article{arxiv.1801.02270,
title = {Perceptual Context in Cognitive Hierarchies},
author = {Bernhard Hengst and Maurice Pagnucco and David Rajaratnam and Claude Sammut and Michael Thielscher},
journal= {arXiv preprint arXiv:1801.02270},
year = {2018}
}