This book offers a model for concepts and their dynamics. A basic
assumptionis that concepts are composed of specified components,
which are representedby large binary patterns whose psychological
meaning is governed by the interaction between conceptual modules
and other functional modules. A recurrent connectionist model is
developed in which some inputs are attracted faster than others by
an attractor, where convergence times can beinterpreted as decision
latencies. The learning rule proposed is extracted from
psychological experiments. The rule has the property that that
whena context becomes more familiar, the associations between the
concepts of the context spontaneously evolve from loose
associations to a more taxonomicorganization.
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