We describe a method for drawing graph-enhanced Euler diagrams using a three stage method. The first stage is to lay out the underlying Euler diagram using a multicriteria optimizi...
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
People sometimes appear to build analogical representations in order to reason about graphical information. In this paper we consider the extent to which the tendency to represent ...
Aidan Feeney, John Adams, Lara Webber, Michael R. ...
Query graphs with cuts are inspired by Sowa’s conceptual graphs, which are in turn based on Peirce’s existential graphs. In my thesis ‘The Logic System of Concept Graphs with...
The ‘graphicacy’ of student programmers was investigated using several cognitive tasks designed to assess ER knowledge representation at the perceptual, semantic and output lev...
Richard Cox, Pablo Romero, Benedict du Boulay, Rud...
In problem solving a goal/subgoal is either solved by generating needed information from current information, or further decomposed into additional subgoals. In traditional problem...
B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee, J...
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
TRACS: Tool for Research on Adaptive Cognitive Strategies, is a new family of card games played with a special deck. Each card in the deck is a double-sided diagram, where the back...
A composite cluster map displays a fuzzy categorisation of geographic areas. It combines information from several sources to provide a visualisation of the significance of cluster...