Analog imagery in mental model reasoning: depictive models
Article Abstract:
Individuals use both analog and non-analog imagery to solve mechanical interaction problems, as shown by experiments depicting moving gears. The linear relationship between the response time of the individual and the angular disparity of gears indicates analog imagery. People viewing realistic displays use the surface of the gears to coordinate their movement, while those viewing schematic displays use analytic methods. In computer simulation of the depictive model, the coordination of the gears' motion results from analog rotations. Here, the ontology of the general spatial knowledge and the context-sensitive physical knowledge is the same.
Publication Name: Cognitive Psychology
Subject: Psychology and mental health
ISSN: 0010-0285
Year: 1996
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Physical imagery: kinematic versus dynamic models
Article Abstract:
People are able to provide themselves with a physical imagery of two objects reacting to each other by correlating the imagined objects with their understanding of actual physical action. This was indicated in an experiment comparing kinematic and dynamic models of imagery. The kinematic model limited the physical imagery to visual representations of the objects' location. The dynamic model, on the other hand, took into consideration the effect of observation of dynamic properties such as rotational movements and knowledge of inferred physical properties such as viscosity.
Publication Name: Cognitive Psychology
Subject: Psychology and mental health
ISSN: 0010-0285
Year: 1999
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The probability heuristics model of syllogistic reasoning
Article Abstract:
Computational and algorithmic level analyses of syllogistic reasoning are developed and proposed based on a probabilistic approach. The model, called the Probability Heuristics Model, is evaluated in a meta-analysis of existing data and is then compared against alternative theories. The model's novel empirical predictions are experimentally tested, with a notable result that the model extends directly to syllogisms using the generalized quantifiers 'most' and 'few.'
Publication Name: Cognitive Psychology
Subject: Psychology and mental health
ISSN: 0010-0285
Year: 1999
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