This paper discusses spatial cognition in the domain of minimally invasive surgery. It draws
on studies from this domain to shed light on a range of spatial cognitive processes and to …

Diagrammatic reasoning (DR) is pervasive in human problem solving as a powerful adjunct
to symbolic reasoning based on language-like representations. However, Artificial …

Diagrammatic reasoning (DR) is pervasive in human problem solving as a powerful adjunct
to symbolic reasoning based on language-like representations. The research reported in …

The phenomenon of self-organization has been of special interest to the neural network
community throughout the last couple of decades. In this paper, we study a variant of the self …

Abstract MGLAIR (multimodal, grounded, layered, architecture with integrated reasoning), is
a cognitive architecture for embodied computational cognitive agents that includes a model …

The article focuses on an abductive reasoning agent that is able to control a reasoning
dilemma. Abductive inference is an applicative inferential process which is inherently …

This article argues for, and describes some of the advantages of, construing level one
information fusion, as a task of abductive inference or inference to the best explanation …

This chapter presents a digitally supported approach to creative thinking through
diagrammatic visuals. Diagrammatic visuals can support designing by evoking thoughts and …

We show how a general-purpose cognitive architecture augmented with a general
diagrammatic component can represent and reason about Large-scale Space. The …

Spatial problems (SP) are inevitable in reasoning with diagrams. In this paper, we
investigate general representations and computational strategies for a SP-solver such that it …