Project Description

pyECTOR is a chatterbot which learns from what
people say. It is based
on an artificial intelligence architecture that is
inspired by Copycat,
an AI system from Mitchell and Hofstadter. The
Concept Network it uses
is a mix between neural and semantic networks. It
uses co-occurrences
to compute the influence of one semantic node on
another. The links are
statistically weighted.

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