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Model building using CSP
Peterová, Alena ; Stanovský, David (advisor) ; Kazda, Alexandr (referee)
In the present work, we study algorithms for building finite models of sets of first-order axioms with the aim of proposing and implementing a new method, based on translation onto constraint satisfaction problem (CSP). In the theoretical part, we describe the standard MACE-style method, based on translating problems onto SAT, and advanced techniques that improve the effectiveness of this method: clause splitting, term definitions and static symmetry reduction. Next, we propose an alternative method, which translates problems onto CSP in a similar way. In addition, we have newly proposed a static symmetry reduction technique for binary functions. Next, we describe an implementation of the alternative method using a CSP-modelling language MiniZinc and a CSP-solver Gecode. Finally, we compare performance of our model finder against state-of-the-art representatives of standard methods, systems Paradox and Mace4.
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Model building using CSP
Peterová, Alena ; Stanovský, David (advisor) ; Kazda, Alexandr (referee)
In the present work, we study algorithms for building finite models of sets of first-order axioms with the aim of proposing and implementing a new method, based on translation onto constraint satisfaction problem (CSP). In the theoretical part, we describe the standard MACE-style method, based on translating problems onto SAT, and advanced techniques that improve the effectiveness of this method: clause splitting, term definitions and static symmetry reduction. Next, we propose an alternative method, which translates problems onto CSP in a similar way. In addition, we have newly proposed a static symmetry reduction technique for binary functions. Next, we describe an implementation of the alternative method using a CSP-modelling language MiniZinc and a CSP-solver Gecode. Finally, we compare performance of our model finder against state-of-the-art representatives of standard methods, systems Paradox and Mace4.
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