%0 Book Section
%B Horizons of the Mind. A Tribute to Prakash Panangaden - Lecture Notes in Computer Science
%D 2014
%T Automata Learning: A Categorical Perspective
%A Alexandra Silva
%A Bart Jacobs
%I Springer
%V 8464
%X <p>Automata learning is a known technique to infer a finite state machine from a set of observations. In this paper, we revisit Angluin’s original algorithm from a categorical perspective. This abstract view on the main ingredients of the algorithm lays a uniform framework to derive algorithms for other types of automata. We show a straightforward generalization to Moore and Mealy machines, which yields an algorithm already know in the literature, and we discuss generalizations to other types of automata, including weighted automata.</p>