A schematic of a biological system, ie, a representation of its pieces, how they are combined,
and what they do, would facilitate understanding its essential organization and alteration in …

An argument that qualitative representations—symbolic representations that carve
continuous phenomena into meaningful units—are central to human cognition. In this book …

Qualitative spatial/temporal reasoning (QSR/QTR) plays a key role in research on human
cognition, eg, as it relates to navigation, as well as in work on robotics and artificial …

Probabilistic logics combine the ability to reason about complex scenes, with a rigorous
approach to uncertainty. This paper explores the construction of probabilistic spatial logics …

Abstract Qualitative Spatial & Temporal Reasoning (QSTR) is a major field of study in
Symbolic AI that deals with the representation and reasoning of spatiotemporal information …

This paper reviews formal approaches to representing spatial knowledge about qualitative
direction. Unlike geometric direction information, qualitative information does not employ …

Taken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving
geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) …

Automated vehicles (AV) heavily depend on robust perception systems. Current methods for
evaluating vision systems focus mainly on frame-by-frame performance. Such evaluation …

In order to be trusted by humans, Artificial Intelligence agents should be able to describe
rationales behind their decisions. One such application is human action recognition in …

The Spatial Pattern Matching paradigm offers a promising direction for searching with
incomplete or imperfect information, but it is badly constrained by dependence on graph …