Abstract
An equal matrix grammar is a parallel rewriting system. In this paper, we consider the problem of learning equal matrix grammars from examples. We introduce a learning method based on control sets and show two subclasses learnable in polynomial time with learning methods for regular sets. We also show that for any equal matrix language there exists an equal matrix grammar learnable efficiently from positive structural examples only.
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