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There Are No CNF Problems

机译:没有CNF问题

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摘要

SAT technology has improved rapidly in recent years, to the point now where it can solve CNF problems of immense size. But solving CNF problems ignores one important fact: there are NO problems that are originally CNF. All the CNF that SAT solvers tackle is the result of modelling some real world problem, and mapping the high-level constraints and decisions modelling the problem into clauses on binary variables. But by throwing away the high level view of the problem SAT solving may have lost a lot of important insight into how the problem is best solved. In this talk I will hope to persuade you that by keeping the original high level model of the problem one can realise immense benefits in solving hard real world problems.
机译:近年来,SAT技术得到了飞速发展,可以解决巨大的CNF问题。但是解决CNF问题忽略了一个重要的事实:没有任何最初是CNF的问题。 SAT求解器处理的所有CNF都是对某个现实问题建模的结果,并将建模该问题的高级约束和决策映射到有关二进制变量的子句中。但是,如果放弃对问题的高级了解,则SAT解决可能就无法最好地解决问题而失去了很多重要的见识。在本次演讲中,我希望说服您,只要保持问题的原始高级模型,就可以在解决实际的现实问题中实现巨大收益。

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