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Efficient Reduction of Finite Automata
Molnárová, Veronika ; Havlena, Vojtěch (oponent) ; Lengál, Ondřej (vedoucí práce)
A finite state automaton is a mathematical model used to describe a machine that performs a computation on the given input over a series of states. In the last century, it has found many uses in different fields of information technology, from video game character behavior to compilers. While each automaton denotes its language, one language can be represented by an infinite number of different automata. As these automata vary in size, to ensure the most efficient work with them, we want to find the smallest one possible. In this thesis, we are going to look at five different types of automata reductions. Firstly, we will talk about three known reduction algorithms, which are the minimization of deterministic automata, the reduction based on a relation of simulation, and the reduction by transformation into a canonical residual automaton. These reductions were implemented in C++ and tested on a sample set of automata to compare their results. Lastly, we looked at the possibility of reducing finite state automata using Boolean satisfiability problem (SAT) and quantified Boolean formula (QBF) solvers. We are presenting a set of rules for each solver for generating a clause in conjunctive normal form (CNF), which can precisely represent the given automaton in Boolean algebra. We used this fact to create a new method of nondeterministic automata reduction.
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