we explore different ways in which a computa-tional model of diagrammatic reasoning can cap-ture imagery experiences which subjects reported in an experiment on spatial reasoning. The algo-rithmic reconstruction of this particular reasoning process suggests that computational models of dia-grammatic reasoning should be formulated at dif-ferent levels of abstraction. Four levels are distinguished- ordinal positioning, metrical posi-tioning, pictorial merging and object depiction. Finally, consequences for the computational mod-elling of individual differences in imagery are dis-cussed.
Forthcoming in Semiotica (ISSN: 0037-1998), published by Walter de Gruyter & Co.In the first part ...
Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when...
Human reasoning is heterogeneous; it is based on information from perception, discourse, and knowled...
We explore different ways in which a computational model of diagrammatic reasoning can capture image...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
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...
Although research in diagrammatic reasoning is as old as research in artificial intelligence itself,...
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, ...
We present a simple metrical representation and algorithm to explain putative imagery processes und...
This paper explores the idea that the cognitive state during problem solving diagrams is bi-modal, o...
Many spatial reasoning tasks involve external diagrams and mental images. Successful problem solving...
This paper examines the construction and use of visual representations for reasoning. Visual represe...
Abstract. The rapidly developing field of diagrammatic knowledge representation and reasoning is sur...
Forthcoming in Semiotica (ISSN: 0037-1998), published by Walter de Gruyter & Co.In the first part ...
Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when...
Human reasoning is heterogeneous; it is based on information from perception, discourse, and knowled...
We explore different ways in which a computational model of diagrammatic reasoning can capture image...
inference, theorem proving Humans employ diagrams and other pictures, both real and imagined, as aid...
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...
Although research in diagrammatic reasoning is as old as research in artificial intelligence itself,...
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, ...
We present a simple metrical representation and algorithm to explain putative imagery processes und...
This paper explores the idea that the cognitive state during problem solving diagrams is bi-modal, o...
Many spatial reasoning tasks involve external diagrams and mental images. Successful problem solving...
This paper examines the construction and use of visual representations for reasoning. Visual represe...
Abstract. The rapidly developing field of diagrammatic knowledge representation and reasoning is sur...
Forthcoming in Semiotica (ISSN: 0037-1998), published by Walter de Gruyter & Co.In the first part ...
Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when...
Human reasoning is heterogeneous; it is based on information from perception, discourse, and knowled...