The boundary of a fuzzy set is an important topic that is defined using the concepts of fuzzy
topology. The inherent vagueness in the fuzzy sets allows researchers to construct various …

Concept-based XAI (C-XAI) approaches to explaining neural vision models are a promising
field of research, since explanations that refer to concepts (ie, semantically meaningful parts …

Engineering General Intelligence, Part 2 Page 1 Engineering General Intelligence, Part 2 The
CogPrime Architecture for Integrative, Embodied AGI Ben Goertzel Cassio Pennachin Nil …

Although the region connection calculus (RCC) offers an appealing framework for modelling
topological relations, its application in real-world scenarios is hampered when spatial …

Semantic image annotation is a field of paramount importance in which deep learning
excels. However, some application domains, like security or medicine, may need an …

Spatial libraries are core components in many geographic information systems, spatial
database systems, and spatial data science projects. These libraries provide the …

GIS and spatial data science (SDS) tools have been recently approaching each other by
establishing bridge technologies between them. R as one of the most prominent …

Topological relations are the predominant backbone of qualitative spatial reasoning,
focusing to date mostly on objects that are embedded in R 2. With the advent of ball-shaped …

This paper summarizes the mathematical aspects of fuzzy and bipolar mathematical
morphology and shows how morphological operators can be applied to define spatial …

Abstract Reasoning about spatial knowledge is an important aspect of computational
intelligence. Humans easily switch between high-level and low-level spatial knowledge …