Visual knowledge appears to be an important part of problem
solving, but the role of visual knowledge in analogical problem
solving is still somewhat mysterious.
In this work I present the Constructive Adaptive
Visual Analogy theory, which claims that visual knowledge is helpful
for solving problems analogically
and suggests a mechanism for how it might be accomplished.
Through evaluations using an implemented computer program, cognitive
models of some of the visual aspects of experimental participants, and
a psychological experiment, I support four claims:
First, visual knowledge alone is sufficient for transfer of some
problem solving procedures.
Second, visual knowledge facilitates
transfer even when non-visual knowledge might be available.
Third, the
successful transfer of strongly-ordered procedures in which new
objects are created requires the reasoner to generate intermediate
knowledge states and mappings between the intermediate knowledge
states of the source and target analogs.
And finally, that visual knowledge
alone is insufficient for evaluation of the results of transfer.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/4775 |
| Date | 11 August 2004 |
| Creators | Davies, Jim |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Dissertation |
| Format | 904615 bytes, application/pdf |
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