  Cobweb, a human-like category learning system, differs from most cognitive
science models in incrementally constructing hierarchically organized tree-like
structures guided by the category utility measure. Prior studies have shown
that Cobweb can capture psychological effects such as basic-level, typicality,
and fan effects. However, a broader evaluation of Cobweb as a model of human
categorization remains lacking. The current study addresses this gap. It
establishes Cobweb's alignment with classical human category learning effects.
It also explores Cobweb's flexibility to exhibit both exemplar- and
prototype-like learning within a single framework. These findings set the stage
for further research on Cobweb as a robust model of human category learning.
