A comparison of block-stacking heuristics used by preschool children and classic artificial intelligence planning paradigms
<p>Despite the large body of research in Psychology concerning human planning and problem-solving both by adults and children, the study of planning and problem-solving in the field of Artificial Intelligence has proceeded along its own development with very little concurrent exploration o...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/45918 http://scholar.lib.vt.edu/theses/available/etd-11202012-040243/ |
| Summary: | <p>Despite the large body of research in Psychology concerning human
planning and problem-solving both by adults and children, the study of
planning and problem-solving in the field of Artificial Intelligence has
proceeded along its own development with very little concurrent exploration
of the methods people use to plan and solve problems. Some of the classic
planning programs are unable to solve problems which are trivial for
children, and it may be that by exploration of the methods children use we will
discover certain heuristics which can be incorporated into AI planning
paradigms. This thesis explores this possibility. Children aged 3 to 5 years
were recorded performing a block-stacking task which simulates the type of
problem given to planners to test their efficiency. The data were analyzed in
order to determine those heuristics which are common to planners and
children as well as those which are unique to the children. Based on this
analysis, the psychological validity of the planning programs are evaluated.
</p> === Master of Arts |
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