Reducing Nondeterministic Finite Automata with SAT Solvers

Date: Thursday 3 September 2009
Time: 12:00
Location: M612

We consider the problem of reducing the number of states of nondeterministic finite automata, and show how to encode the reduction as a Boolean satisfiability problem. This approach improves on previous work by reducing a more general class of automata. Experimental results show that it produces a minimal automaton in almost all cases, and that the running time compares favourably to the classic Kameda-Weiner algorithm.

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