We explore different ways in which a computational model of diagrammatic reasoning can capture imagery experiences which subjects reported in an experiment on spatial reasoning. The algorithmic reconstruction of this particular reasoning process suggests that computational models of diagrammatic reasoning should be formulated at different levels of abstraction. Four levels are distinguished – ordinal positioning, metrical positioning, pictorial merging and object depiction. Finally, consequences for the computational modelling of individual differences in imagery are discussed
Spatial reasoning is a diverse topic; what might different spatial tasks have in common? One task wh...
Collaborative human-computer reasoning creates asymmetric reasoning situations in which the human an...
This paper describes two reasoners built for a real-world diagrammatic reasoning task: Course-of-Act...
we explore different ways in which a computa-tional model of diagrammatic reasoning can cap-ture ima...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
Although research in diagrammatic reasoning is as old as research in artificial intelligence itself,...
Collaborative human-computer reasoning creates asymmetric reasoning situations in which the human an...
Hum,ms are capable of giving plausible answers to questions about spatial interactions among objects...
We present a simple metrical representation and algorithm to explain putative imagery processes und...
People often use diagrams when they think and solve problems because diagrams (figures, graphs, char...
We advance a theoretical framework which combines recent insights of research in logic, psychology, ...
peer reviewedThe cognitive processing of spatial relations in Euclidean diagrams is central to the d...
This paper examines the construction and use of visual representations for reasoning. Visual represe...
Diagrams are ubiquitous in scientific discovery and scientific reasoning. The uses of diagrams are s...
Abstract. The rapidly developing field of diagrammatic knowledge representation and reasoning is sur...
Spatial reasoning is a diverse topic; what might different spatial tasks have in common? One task wh...
Collaborative human-computer reasoning creates asymmetric reasoning situations in which the human an...
This paper describes two reasoners built for a real-world diagrammatic reasoning task: Course-of-Act...
we explore different ways in which a computa-tional model of diagrammatic reasoning can cap-ture ima...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
Although research in diagrammatic reasoning is as old as research in artificial intelligence itself,...
Collaborative human-computer reasoning creates asymmetric reasoning situations in which the human an...
Hum,ms are capable of giving plausible answers to questions about spatial interactions among objects...
We present a simple metrical representation and algorithm to explain putative imagery processes und...
People often use diagrams when they think and solve problems because diagrams (figures, graphs, char...
We advance a theoretical framework which combines recent insights of research in logic, psychology, ...
peer reviewedThe cognitive processing of spatial relations in Euclidean diagrams is central to the d...
This paper examines the construction and use of visual representations for reasoning. Visual represe...
Diagrams are ubiquitous in scientific discovery and scientific reasoning. The uses of diagrams are s...
Abstract. The rapidly developing field of diagrammatic knowledge representation and reasoning is sur...
Spatial reasoning is a diverse topic; what might different spatial tasks have in common? One task wh...
Collaborative human-computer reasoning creates asymmetric reasoning situations in which the human an...
This paper describes two reasoners built for a real-world diagrammatic reasoning task: Course-of-Act...